Overview

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Dataset statistics

Number of variables408
Number of observations217625
Missing cells21845329
Missing cells (%)24.6%
Total size in memory876.3 MiB
Average record size in memory4.1 KiB

Variable types

Numeric392
Text15
Unsupported1

Alerts

NU_ANO_CENSO has constant value "2023" Constant
TP_CATEGORIA_ESCOLA_PRIVADA has 175309 (80.6%) missing values Missing
TP_LOCALIZACAO_DIFERENCIADA has 37395 (17.2%) missing values Missing
NU_ENDERECO has 44263 (20.3%) missing values Missing
DS_COMPLEMENTO has 147301 (67.7%) missing values Missing
NO_BAIRRO has 31566 (14.5%) missing values Missing
NU_DDD has 28033 (12.9%) missing values Missing
NU_TELEFONE has 39474 (18.1%) missing values Missing
CO_ORGAO_REGIONAL has 6176 (2.8%) missing values Missing
DT_ANO_LETIVO_INICIO has 37395 (17.2%) missing values Missing
DT_ANO_LETIVO_TERMINO has 37395 (17.2%) missing values Missing
IN_VINCULO_SECRETARIA_EDUCACAO has 79711 (36.6%) missing values Missing
IN_VINCULO_SEGURANCA_PUBLICA has 79711 (36.6%) missing values Missing
IN_VINCULO_SECRETARIA_SAUDE has 79711 (36.6%) missing values Missing
IN_VINCULO_OUTRO_ORGAO has 79711 (36.6%) missing values Missing
IN_PODER_PUBLICO_PARCERIA has 37395 (17.2%) missing values Missing
TP_PODER_PUBLICO_PARCERIA has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_TERMO_COLABORA has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_TERMO_FOMENTO has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_ACORDO_COOP has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_PRESTACAO_SERV has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_COOP_TEC_FIN has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_CONSORCIO_PUB has 207878 (95.5%) missing values Missing
IN_FORMA_CONT_MU_TERMO_COLAB has 208833 (96.0%) missing values Missing
IN_FORMA_CONT_MU_TERMO_FOMENTO has 208833 (96.0%) missing values Missing
IN_FORMA_CONT_MU_ACORDO_COOP has 208833 (96.0%) missing values Missing
IN_FORMA_CONT_MU_PREST_SERV has 208833 (96.0%) missing values Missing
IN_FORMA_CONT_MU_COOP_TEC_FIN has 208833 (96.0%) missing values Missing
IN_FORMA_CONT_MU_CONSORCIO_PUB has 208833 (96.0%) missing values Missing
IN_FORMA_CONT_ES_TERMO_COLAB has 215863 (99.2%) missing values Missing
IN_FORMA_CONT_ES_TERMO_FOMENTO has 215863 (99.2%) missing values Missing
IN_FORMA_CONT_ES_ACORDO_COOP has 215863 (99.2%) missing values Missing
IN_FORMA_CONT_ES_PREST_SERV has 215863 (99.2%) missing values Missing
IN_FORMA_CONT_ES_COOP_TEC_FIN has 215863 (99.2%) missing values Missing
IN_FORMA_CONT_ES_CONSORCIO_PUB has 215863 (99.2%) missing values Missing
IN_MANT_ESCOLA_PRIVADA_EMP has 175309 (80.6%) missing values Missing
IN_MANT_ESCOLA_PRIVADA_ONG has 175309 (80.6%) missing values Missing
IN_MANT_ESCOLA_PRIVADA_OSCIP has 175309 (80.6%) missing values Missing
IN_MANT_ESCOLA_PRIV_ONG_OSCIP has 175309 (80.6%) missing values Missing
IN_MANT_ESCOLA_PRIVADA_SIND has 175309 (80.6%) missing values Missing
IN_MANT_ESCOLA_PRIVADA_SIST_S has 175309 (80.6%) missing values Missing
IN_MANT_ESCOLA_PRIVADA_S_FINS has 175309 (80.6%) missing values Missing
NU_CNPJ_ESCOLA_PRIVADA has 175309 (80.6%) missing values Missing
NU_CNPJ_MANTENEDORA has 175309 (80.6%) missing values Missing
TP_REGULAMENTACAO has 37395 (17.2%) missing values Missing
TP_RESPONSAVEL_REGULAMENTACAO has 41917 (19.3%) missing values Missing
CO_ESCOLA_SEDE_VINCULADA has 214556 (98.6%) missing values Missing
CO_IES_OFERTANTE has 217162 (99.8%) missing values Missing
IN_LOCAL_FUNC_PREDIO_ESCOLAR has 37395 (17.2%) missing values Missing
TP_OCUPACAO_PREDIO_ESCOLAR has 41573 (19.1%) missing values Missing
IN_LOCAL_FUNC_SOCIOEDUCATIVO has 37395 (17.2%) missing values Missing
IN_LOCAL_FUNC_UNID_PRISIONAL has 37395 (17.2%) missing values Missing
IN_LOCAL_FUNC_PRISIONAL_SOCIO has 37395 (17.2%) missing values Missing
IN_LOCAL_FUNC_GALPAO has 37395 (17.2%) missing values Missing
TP_OCUPACAO_GALPAO has 215150 (98.9%) missing values Missing
IN_LOCAL_FUNC_SALAS_OUTRA_ESC has 37395 (17.2%) missing values Missing
IN_LOCAL_FUNC_OUTROS has 37395 (17.2%) missing values Missing
IN_PREDIO_COMPARTILHADO has 41573 (19.1%) missing values Missing
IN_AGUA_POTAVEL has 37395 (17.2%) missing values Missing
IN_AGUA_REDE_PUBLICA has 37395 (17.2%) missing values Missing
IN_AGUA_POCO_ARTESIANO has 37395 (17.2%) missing values Missing
IN_AGUA_CACIMBA has 37395 (17.2%) missing values Missing
IN_AGUA_FONTE_RIO has 37395 (17.2%) missing values Missing
IN_AGUA_INEXISTENTE has 37395 (17.2%) missing values Missing
IN_ENERGIA_REDE_PUBLICA has 37395 (17.2%) missing values Missing
IN_ENERGIA_GERADOR_FOSSIL has 37395 (17.2%) missing values Missing
IN_ENERGIA_RENOVAVEL has 37395 (17.2%) missing values Missing
IN_ENERGIA_INEXISTENTE has 37395 (17.2%) missing values Missing
IN_ESGOTO_REDE_PUBLICA has 37395 (17.2%) missing values Missing
IN_ESGOTO_FOSSA_SEPTICA has 37395 (17.2%) missing values Missing
IN_ESGOTO_FOSSA_COMUM has 37395 (17.2%) missing values Missing
IN_ESGOTO_FOSSA has 37395 (17.2%) missing values Missing
IN_ESGOTO_INEXISTENTE has 37395 (17.2%) missing values Missing
IN_LIXO_SERVICO_COLETA has 37395 (17.2%) missing values Missing
IN_LIXO_QUEIMA has 37395 (17.2%) missing values Missing
IN_LIXO_ENTERRA has 37395 (17.2%) missing values Missing
IN_LIXO_DESTINO_FINAL_PUBLICO has 37395 (17.2%) missing values Missing
IN_LIXO_DESCARTA_OUTRA_AREA has 37395 (17.2%) missing values Missing
IN_TRATAMENTO_LIXO_SEPARACAO has 37395 (17.2%) missing values Missing
IN_TRATAMENTO_LIXO_REUTILIZA has 37395 (17.2%) missing values Missing
IN_TRATAMENTO_LIXO_RECICLAGEM has 37395 (17.2%) missing values Missing
IN_TRATAMENTO_LIXO_INEXISTENTE has 37395 (17.2%) missing values Missing
IN_ALMOXARIFADO has 37395 (17.2%) missing values Missing
IN_AREA_VERDE has 37395 (17.2%) missing values Missing
IN_AUDITORIO has 37395 (17.2%) missing values Missing
IN_BANHEIRO has 37395 (17.2%) missing values Missing
IN_BANHEIRO_EI has 37395 (17.2%) missing values Missing
IN_BANHEIRO_PNE has 37395 (17.2%) missing values Missing
IN_BANHEIRO_FUNCIONARIOS has 37395 (17.2%) missing values Missing
IN_BANHEIRO_CHUVEIRO has 37395 (17.2%) missing values Missing
IN_BIBLIOTECA has 37395 (17.2%) missing values Missing
IN_BIBLIOTECA_SALA_LEITURA has 37395 (17.2%) missing values Missing
IN_COZINHA has 37395 (17.2%) missing values Missing
IN_DESPENSA has 37395 (17.2%) missing values Missing
IN_DORMITORIO_ALUNO has 37395 (17.2%) missing values Missing
IN_DORMITORIO_PROFESSOR has 37395 (17.2%) missing values Missing
IN_LABORATORIO_CIENCIAS has 37395 (17.2%) missing values Missing
IN_LABORATORIO_INFORMATICA has 37395 (17.2%) missing values Missing
IN_LABORATORIO_EDUC_PROF has 37395 (17.2%) missing values Missing
IN_PATIO_COBERTO has 37395 (17.2%) missing values Missing
IN_PATIO_DESCOBERTO has 37395 (17.2%) missing values Missing
IN_PARQUE_INFANTIL has 37395 (17.2%) missing values Missing
IN_PISCINA has 37395 (17.2%) missing values Missing
IN_QUADRA_ESPORTES has 37395 (17.2%) missing values Missing
IN_QUADRA_ESPORTES_COBERTA has 37395 (17.2%) missing values Missing
IN_QUADRA_ESPORTES_DESCOBERTA has 37395 (17.2%) missing values Missing
IN_REFEITORIO has 37395 (17.2%) missing values Missing
IN_SALA_ATELIE_ARTES has 37395 (17.2%) missing values Missing
IN_SALA_MUSICA_CORAL has 37395 (17.2%) missing values Missing
IN_SALA_ESTUDIO_DANCA has 37395 (17.2%) missing values Missing
IN_SALA_MULTIUSO has 37395 (17.2%) missing values Missing
IN_SALA_ESTUDIO_GRAVACAO has 37395 (17.2%) missing values Missing
IN_SALA_OFICINAS_EDUC_PROF has 37395 (17.2%) missing values Missing
IN_SALA_DIRETORIA has 37395 (17.2%) missing values Missing
IN_SALA_LEITURA has 37395 (17.2%) missing values Missing
IN_SALA_PROFESSOR has 37395 (17.2%) missing values Missing
IN_SALA_REPOUSO_ALUNO has 37395 (17.2%) missing values Missing
IN_SECRETARIA has 37395 (17.2%) missing values Missing
IN_SALA_ATENDIMENTO_ESPECIAL has 37395 (17.2%) missing values Missing
IN_TERREIRAO has 37395 (17.2%) missing values Missing
IN_VIVEIRO has 37395 (17.2%) missing values Missing
IN_DEPENDENCIAS_OUTRAS has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_CORRIMAO has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_ELEVADOR has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_PISOS_TATEIS has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_VAO_LIVRE has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_RAMPAS has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_SINAL_SONORO has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_SINAL_TATIL has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_SINAL_VISUAL has 37395 (17.2%) missing values Missing
IN_ACESSIBILIDADE_INEXISTENTE has 37395 (17.2%) missing values Missing
QT_SALAS_UTILIZADAS_DENTRO has 37395 (17.2%) missing values Missing
QT_SALAS_UTILIZADAS_FORA has 37395 (17.2%) missing values Missing
QT_SALAS_UTILIZADAS has 37395 (17.2%) missing values Missing
QT_SALAS_UTILIZA_CLIMATIZADAS has 37395 (17.2%) missing values Missing
QT_SALAS_UTILIZADAS_ACESSIVEIS has 37395 (17.2%) missing values Missing
IN_EQUIP_PARABOLICA has 37395 (17.2%) missing values Missing
IN_COMPUTADOR has 37395 (17.2%) missing values Missing
IN_EQUIP_COPIADORA has 37395 (17.2%) missing values Missing
IN_EQUIP_IMPRESSORA has 37395 (17.2%) missing values Missing
IN_EQUIP_IMPRESSORA_MULT has 37395 (17.2%) missing values Missing
IN_EQUIP_SCANNER has 37395 (17.2%) missing values Missing
IN_EQUIP_NENHUM has 37395 (17.2%) missing values Missing
IN_EQUIP_DVD has 37395 (17.2%) missing values Missing
QT_EQUIP_DVD has 37395 (17.2%) missing values Missing
IN_EQUIP_SOM has 37395 (17.2%) missing values Missing
QT_EQUIP_SOM has 37395 (17.2%) missing values Missing
IN_EQUIP_TV has 37395 (17.2%) missing values Missing
QT_EQUIP_TV has 37395 (17.2%) missing values Missing
IN_EQUIP_LOUSA_DIGITAL has 37395 (17.2%) missing values Missing
QT_EQUIP_LOUSA_DIGITAL has 37395 (17.2%) missing values Missing
IN_EQUIP_MULTIMIDIA has 37395 (17.2%) missing values Missing
QT_EQUIP_MULTIMIDIA has 37395 (17.2%) missing values Missing
IN_DESKTOP_ALUNO has 37395 (17.2%) missing values Missing
QT_DESKTOP_ALUNO has 37395 (17.2%) missing values Missing
IN_COMP_PORTATIL_ALUNO has 37395 (17.2%) missing values Missing
QT_COMP_PORTATIL_ALUNO has 37395 (17.2%) missing values Missing
IN_TABLET_ALUNO has 37395 (17.2%) missing values Missing
QT_TABLET_ALUNO has 37395 (17.2%) missing values Missing
IN_INTERNET has 37395 (17.2%) missing values Missing
IN_INTERNET_ALUNOS has 37395 (17.2%) missing values Missing
IN_INTERNET_ADMINISTRATIVO has 37395 (17.2%) missing values Missing
IN_INTERNET_APRENDIZAGEM has 37395 (17.2%) missing values Missing
IN_INTERNET_COMUNIDADE has 37395 (17.2%) missing values Missing
IN_ACESSO_INTERNET_COMPUTADOR has 37395 (17.2%) missing values Missing
IN_ACES_INTERNET_DISP_PESSOAIS has 37395 (17.2%) missing values Missing
TP_REDE_LOCAL has 37395 (17.2%) missing values Missing
IN_BANDA_LARGA has 53770 (24.7%) missing values Missing
IN_PROF_ADMINISTRATIVOS has 37395 (17.2%) missing values Missing
QT_PROF_ADMINISTRATIVOS has 37395 (17.2%) missing values Missing
IN_PROF_SERVICOS_GERAIS has 37395 (17.2%) missing values Missing
QT_PROF_SERVICOS_GERAIS has 37395 (17.2%) missing values Missing
IN_PROF_BIBLIOTECARIO has 37395 (17.2%) missing values Missing
QT_PROF_BIBLIOTECARIO has 37395 (17.2%) missing values Missing
IN_PROF_SAUDE has 37395 (17.2%) missing values Missing
QT_PROF_SAUDE has 37395 (17.2%) missing values Missing
IN_PROF_COORDENADOR has 37395 (17.2%) missing values Missing
QT_PROF_COORDENADOR has 37395 (17.2%) missing values Missing
IN_PROF_FONAUDIOLOGO has 37395 (17.2%) missing values Missing
QT_PROF_FONAUDIOLOGO has 37395 (17.2%) missing values Missing
IN_PROF_NUTRICIONISTA has 37395 (17.2%) missing values Missing
QT_PROF_NUTRICIONISTA has 37395 (17.2%) missing values Missing
IN_PROF_PSICOLOGO has 37395 (17.2%) missing values Missing
QT_PROF_PSICOLOGO has 37395 (17.2%) missing values Missing
IN_PROF_ALIMENTACAO has 37395 (17.2%) missing values Missing
QT_PROF_ALIMENTACAO has 37395 (17.2%) missing values Missing
IN_PROF_PEDAGOGIA has 37395 (17.2%) missing values Missing
QT_PROF_PEDAGOGIA has 37395 (17.2%) missing values Missing
IN_PROF_SECRETARIO has 37395 (17.2%) missing values Missing
QT_PROF_SECRETARIO has 37395 (17.2%) missing values Missing
IN_PROF_SEGURANCA has 37395 (17.2%) missing values Missing
QT_PROF_SEGURANCA has 37395 (17.2%) missing values Missing
IN_PROF_MONITORES has 37395 (17.2%) missing values Missing
QT_PROF_MONITORES has 37395 (17.2%) missing values Missing
IN_PROF_GESTAO has 37395 (17.2%) missing values Missing
QT_PROF_GESTAO has 37395 (17.2%) missing values Missing
IN_PROF_ASSIST_SOCIAL has 37395 (17.2%) missing values Missing
QT_PROF_ASSIST_SOCIAL has 37395 (17.2%) missing values Missing
IN_PROF_TRAD_LIBRAS has 37395 (17.2%) missing values Missing
QT_PROF_TRAD_LIBRAS has 37395 (17.2%) missing values Missing
IN_ALIMENTACAO has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_MULTIMIDIA has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_INFANTIL has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_CIENTIFICO has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_DIFUSAO has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_MUSICAL has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_JOGOS has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_ARTISTICAS has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_PROFISSIONAL has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_DESPORTIVA has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_INDIGENA has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_ETNICO has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_CAMPO has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_BIL_SURDOS has 37395 (17.2%) missing values Missing
IN_MATERIAL_PED_NENHUM has 37395 (17.2%) missing values Missing
IN_EDUCACAO_INDIGENA has 37395 (17.2%) missing values Missing
TP_INDIGENA_LINGUA has 213997 (98.3%) missing values Missing
CO_LINGUA_INDIGENA_1 has 214935 (98.8%) missing values Missing
CO_LINGUA_INDIGENA_2 has 217252 (99.8%) missing values Missing
CO_LINGUA_INDIGENA_3 has 217477 (99.9%) missing values Missing
IN_EXAME_SELECAO has 37395 (17.2%) missing values Missing
IN_RESERVA_PPI has 211224 (97.1%) missing values Missing
IN_RESERVA_RENDA has 211224 (97.1%) missing values Missing
IN_RESERVA_PUBLICA has 211224 (97.1%) missing values Missing
IN_RESERVA_PCD has 211224 (97.1%) missing values Missing
IN_RESERVA_OUTROS has 211224 (97.1%) missing values Missing
IN_RESERVA_NENHUMA has 211224 (97.1%) missing values Missing
IN_REDES_SOCIAIS has 37395 (17.2%) missing values Missing
IN_ESPACO_ATIVIDADE has 37395 (17.2%) missing values Missing
IN_ESPACO_EQUIPAMENTO has 37395 (17.2%) missing values Missing
IN_ORGAO_ASS_PAIS has 37395 (17.2%) missing values Missing
IN_ORGAO_ASS_PAIS_MESTRES has 37395 (17.2%) missing values Missing
IN_ORGAO_CONSELHO_ESCOLAR has 37395 (17.2%) missing values Missing
IN_ORGAO_GREMIO_ESTUDANTIL has 37395 (17.2%) missing values Missing
IN_ORGAO_OUTROS has 37395 (17.2%) missing values Missing
IN_ORGAO_NENHUM has 37395 (17.2%) missing values Missing
TP_PROPOSTA_PEDAGOGICA has 37395 (17.2%) missing values Missing
TP_AEE has 37395 (17.2%) missing values Missing
TP_ATIVIDADE_COMPLEMENTAR has 37395 (17.2%) missing values Missing
IN_MEDIACAO_PRESENCIAL has 37395 (17.2%) missing values Missing
IN_MEDIACAO_SEMIPRESENCIAL has 37395 (17.2%) missing values Missing
IN_MEDIACAO_EAD has 37395 (17.2%) missing values Missing
IN_REGULAR has 37395 (17.2%) missing values Missing
IN_DIURNO has 39149 (18.0%) missing values Missing
IN_NOTURNO has 39149 (18.0%) missing values Missing
IN_EAD has 39149 (18.0%) missing values Missing
IN_ESCOLARIZACAO has 37395 (17.2%) missing values Missing
IN_INF has 39149 (18.0%) missing values Missing
IN_INF_CRE has 39149 (18.0%) missing values Missing
IN_INF_PRE has 39149 (18.0%) missing values Missing
IN_FUND has 39149 (18.0%) missing values Missing
IN_FUND_AI has 39149 (18.0%) missing values Missing
IN_FUND_AF has 39149 (18.0%) missing values Missing
IN_MED has 39149 (18.0%) missing values Missing
IN_PROF has 39149 (18.0%) missing values Missing
IN_PROF_TEC has 39149 (18.0%) missing values Missing
IN_EJA has 39149 (18.0%) missing values Missing
IN_EJA_FUND has 39149 (18.0%) missing values Missing
IN_EJA_MED has 39149 (18.0%) missing values Missing
IN_ESP has 39149 (18.0%) missing values Missing
IN_ESP_CC has 39149 (18.0%) missing values Missing
IN_ESP_CE has 39149 (18.0%) missing values Missing
QT_MAT_BAS has 39149 (18.0%) missing values Missing
QT_MAT_INF has 39149 (18.0%) missing values Missing
QT_MAT_INF_CRE has 39149 (18.0%) missing values Missing
QT_MAT_INF_PRE has 39149 (18.0%) missing values Missing
QT_MAT_FUND has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI_1 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI_2 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI_3 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI_4 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI_5 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AF has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AF_6 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AF_7 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AF_8 has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AF_9 has 39149 (18.0%) missing values Missing
QT_MAT_MED has 39149 (18.0%) missing values Missing
QT_MAT_MED_PROP has 39149 (18.0%) missing values Missing
QT_MAT_MED_PROP_1 has 39149 (18.0%) missing values Missing
QT_MAT_MED_PROP_2 has 39149 (18.0%) missing values Missing
QT_MAT_MED_PROP_3 has 39149 (18.0%) missing values Missing
QT_MAT_MED_PROP_4 has 39149 (18.0%) missing values Missing
QT_MAT_MED_PROP_NS has 39149 (18.0%) missing values Missing
QT_MAT_MED_CT has 39149 (18.0%) missing values Missing
QT_MAT_MED_CT_1 has 39149 (18.0%) missing values Missing
QT_MAT_MED_CT_2 has 39149 (18.0%) missing values Missing
QT_MAT_MED_CT_3 has 39149 (18.0%) missing values Missing
QT_MAT_MED_CT_4 has 39149 (18.0%) missing values Missing
QT_MAT_MED_CT_NS has 39149 (18.0%) missing values Missing
QT_MAT_MED_NM has 39149 (18.0%) missing values Missing
QT_MAT_MED_NM_1 has 39149 (18.0%) missing values Missing
QT_MAT_MED_NM_2 has 39149 (18.0%) missing values Missing
QT_MAT_MED_NM_3 has 39149 (18.0%) missing values Missing
QT_MAT_MED_NM_4 has 39149 (18.0%) missing values Missing
QT_MAT_PROF has 39149 (18.0%) missing values Missing
QT_MAT_PROF_TEC has 39149 (18.0%) missing values Missing
QT_MAT_PROF_TEC_CONC has 39149 (18.0%) missing values Missing
QT_MAT_PROF_TEC_SUBS has 39149 (18.0%) missing values Missing
QT_MAT_PROF_FIC_CONC has 39149 (18.0%) missing values Missing
QT_MAT_EJA has 39149 (18.0%) missing values Missing
QT_MAT_EJA_FUND has 39149 (18.0%) missing values Missing
QT_MAT_EJA_FUND_AI has 39149 (18.0%) missing values Missing
QT_MAT_EJA_FUND_AF has 39149 (18.0%) missing values Missing
QT_MAT_EJA_FUND_FIC has 39149 (18.0%) missing values Missing
QT_MAT_EJA_MED has 39149 (18.0%) missing values Missing
QT_MAT_EJA_MED_NPROF has 39149 (18.0%) missing values Missing
QT_MAT_EJA_MED_FIC has 39149 (18.0%) missing values Missing
QT_MAT_EJA_MED_TEC has 39149 (18.0%) missing values Missing
QT_MAT_ESP has 39149 (18.0%) missing values Missing
QT_MAT_ESP_CC has 39149 (18.0%) missing values Missing
QT_MAT_ESP_CE has 39149 (18.0%) missing values Missing
QT_MAT_BAS_FEM has 39149 (18.0%) missing values Missing
QT_MAT_BAS_MASC has 39149 (18.0%) missing values Missing
QT_MAT_BAS_ND has 39149 (18.0%) missing values Missing
QT_MAT_BAS_BRANCA has 39149 (18.0%) missing values Missing
QT_MAT_BAS_PRETA has 39149 (18.0%) missing values Missing
QT_MAT_BAS_PARDA has 39149 (18.0%) missing values Missing
QT_MAT_BAS_AMARELA has 39149 (18.0%) missing values Missing
QT_MAT_BAS_INDIGENA has 39149 (18.0%) missing values Missing
QT_MAT_BAS_0_3 has 39149 (18.0%) missing values Missing
QT_MAT_BAS_4_5 has 39149 (18.0%) missing values Missing
QT_MAT_BAS_6_10 has 39149 (18.0%) missing values Missing
QT_MAT_BAS_11_14 has 39149 (18.0%) missing values Missing
QT_MAT_BAS_15_17 has 39149 (18.0%) missing values Missing
QT_MAT_BAS_18_MAIS has 39149 (18.0%) missing values Missing
QT_MAT_BAS_D has 39149 (18.0%) missing values Missing
QT_MAT_BAS_N has 39149 (18.0%) missing values Missing
QT_MAT_BAS_EAD has 39149 (18.0%) missing values Missing
QT_MAT_INF_INT has 39149 (18.0%) missing values Missing
QT_MAT_INF_CRE_INT has 39149 (18.0%) missing values Missing
QT_MAT_INF_PRE_INT has 39149 (18.0%) missing values Missing
QT_MAT_FUND_INT has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AI_INT has 39149 (18.0%) missing values Missing
QT_MAT_FUND_AF_INT has 39149 (18.0%) missing values Missing
QT_MAT_MED_INT has 39149 (18.0%) missing values Missing
QT_MAT_ZR_URB has 39149 (18.0%) missing values Missing
QT_MAT_ZR_RUR has 39149 (18.0%) missing values Missing
QT_MAT_ZR_NA has 39149 (18.0%) missing values Missing
QT_TRANSP_PUBLICO has 39149 (18.0%) missing values Missing
QT_TRANSP_RESP_EST has 39149 (18.0%) missing values Missing
QT_TRANSP_RESP_MUN has 39149 (18.0%) missing values Missing
QT_DOC_BAS has 39379 (18.1%) missing values Missing
QT_DOC_INF has 39379 (18.1%) missing values Missing
QT_DOC_INF_CRE has 39379 (18.1%) missing values Missing
QT_DOC_INF_PRE has 39379 (18.1%) missing values Missing
QT_DOC_FUND has 39379 (18.1%) missing values Missing
QT_DOC_FUND_AI has 39379 (18.1%) missing values Missing
QT_DOC_FUND_AF has 39379 (18.1%) missing values Missing
QT_DOC_MED has 39379 (18.1%) missing values Missing
QT_DOC_PROF has 39379 (18.1%) missing values Missing
QT_DOC_PROF_TEC has 39379 (18.1%) missing values Missing
QT_DOC_EJA has 39379 (18.1%) missing values Missing
QT_DOC_EJA_FUND has 39379 (18.1%) missing values Missing
QT_DOC_EJA_MED has 39379 (18.1%) missing values Missing
QT_DOC_ESP has 39379 (18.1%) missing values Missing
QT_DOC_ESP_CC has 39379 (18.1%) missing values Missing
QT_DOC_ESP_CE has 39379 (18.1%) missing values Missing
QT_TUR_BAS has 39149 (18.0%) missing values Missing
QT_TUR_INF has 39149 (18.0%) missing values Missing
QT_TUR_INF_CRE has 39149 (18.0%) missing values Missing
QT_TUR_INF_PRE has 39149 (18.0%) missing values Missing
QT_TUR_FUND has 39149 (18.0%) missing values Missing
QT_TUR_FUND_AI has 39149 (18.0%) missing values Missing
QT_TUR_FUND_AF has 39149 (18.0%) missing values Missing
QT_TUR_MED has 39149 (18.0%) missing values Missing
QT_TUR_PROF has 39149 (18.0%) missing values Missing
QT_TUR_PROF_TEC has 39149 (18.0%) missing values Missing
QT_TUR_EJA has 39149 (18.0%) missing values Missing
QT_TUR_EJA_FUND has 39149 (18.0%) missing values Missing
QT_TUR_EJA_MED has 39149 (18.0%) missing values Missing
QT_TUR_ESP has 39149 (18.0%) missing values Missing
QT_TUR_ESP_CC has 39149 (18.0%) missing values Missing
QT_TUR_ESP_CE has 39149 (18.0%) missing values Missing
QT_TUR_BAS_D has 39149 (18.0%) missing values Missing
QT_TUR_BAS_N has 39149 (18.0%) missing values Missing
QT_TUR_BAS_EAD has 39149 (18.0%) missing values Missing
QT_TUR_INF_INT has 39149 (18.0%) missing values Missing
QT_TUR_INF_CRE_INT has 39149 (18.0%) missing values Missing
QT_TUR_INF_PRE_INT has 39149 (18.0%) missing values Missing
QT_TUR_FUND_INT has 39149 (18.0%) missing values Missing
QT_TUR_FUND_AI_INT has 39149 (18.0%) missing values Missing
QT_TUR_FUND_AF_INT has 39149 (18.0%) missing values Missing
QT_TUR_MED_INT has 39149 (18.0%) missing values Missing
IN_VINCULO_SEGURANCA_PUBLICA is highly skewed (γ1 = 24.42623049) Skewed
IN_VINCULO_SECRETARIA_SAUDE is highly skewed (γ1 = 83.02319003) Skewed
IN_FORMA_CONT_ES_CONSORCIO_PUB is highly skewed (γ1 = 41.97618372) Skewed
IN_LOCAL_FUNC_SOCIOEDUCATIVO is highly skewed (γ1 = 27.75848399) Skewed
QT_SALAS_UTILIZADAS_FORA is highly skewed (γ1 = 238.2392312) Skewed
QT_SALAS_UTILIZADAS is highly skewed (γ1 = 110.2633939) Skewed
QT_EQUIP_DVD is highly skewed (γ1 = 33.00486141) Skewed
QT_EQUIP_LOUSA_DIGITAL is highly skewed (γ1 = 51.45362789) Skewed
QT_DESKTOP_ALUNO is highly skewed (γ1 = 27.93802713) Skewed
QT_COMP_PORTATIL_ALUNO is highly skewed (γ1 = 46.83572879) Skewed
QT_TABLET_ALUNO is highly skewed (γ1 = 45.99350101) Skewed
QT_PROF_ADMINISTRATIVOS is highly skewed (γ1 = 22.24595409) Skewed
QT_PROF_BIBLIOTECARIO is highly skewed (γ1 = 29.74639771) Skewed
QT_PROF_COORDENADOR is highly skewed (γ1 = 35.09234178) Skewed
QT_PROF_FONAUDIOLOGO is highly skewed (γ1 = 78.81580066) Skewed
QT_PROF_NUTRICIONISTA is highly skewed (γ1 = 106.1204627) Skewed
QT_PROF_PSICOLOGO is highly skewed (γ1 = 51.45371822) Skewed
QT_PROF_ALIMENTACAO is highly skewed (γ1 = 37.63183842) Skewed
QT_PROF_SECRETARIO is highly skewed (γ1 = 63.97813789) Skewed
QT_PROF_SEGURANCA is highly skewed (γ1 = 20.21121368) Skewed
QT_PROF_GESTAO is highly skewed (γ1 = 88.50534095) Skewed
QT_PROF_ASSIST_SOCIAL is highly skewed (γ1 = 97.38040569) Skewed
QT_PROF_TRAD_LIBRAS is highly skewed (γ1 = 81.68412045) Skewed
IN_MEDIACAO_SEMIPRESENCIAL is highly skewed (γ1 = 20.23449715) Skewed
QT_MAT_BAS is highly skewed (γ1 = 37.04730369) Skewed
QT_MAT_MED_PROP_4 is highly skewed (γ1 = 101.7838158) Skewed
QT_MAT_MED_CT_4 is highly skewed (γ1 = 48.87400207) Skewed
QT_MAT_MED_CT_NS is highly skewed (γ1 = 74.13696436) Skewed
QT_MAT_MED_NM is highly skewed (γ1 = 85.81510466) Skewed
QT_MAT_MED_NM_1 is highly skewed (γ1 = 79.77271942) Skewed
QT_MAT_MED_NM_2 is highly skewed (γ1 = 110.1742479) Skewed
QT_MAT_MED_NM_3 is highly skewed (γ1 = 82.79570617) Skewed
QT_MAT_MED_NM_4 is highly skewed (γ1 = 54.35426444) Skewed
QT_MAT_PROF is highly skewed (γ1 = 161.4853862) Skewed
QT_MAT_PROF_TEC is highly skewed (γ1 = 163.8870942) Skewed
QT_MAT_PROF_TEC_CONC is highly skewed (γ1 = 367.0026325) Skewed
QT_MAT_PROF_TEC_SUBS is highly skewed (γ1 = 225.8169703) Skewed
QT_MAT_PROF_FIC_CONC is highly skewed (γ1 = 69.92141246) Skewed
QT_MAT_EJA is highly skewed (γ1 = 27.37859733) Skewed
QT_MAT_EJA_FUND_FIC is highly skewed (γ1 = 73.48468314) Skewed
QT_MAT_EJA_MED is highly skewed (γ1 = 37.00380047) Skewed
QT_MAT_EJA_MED_NPROF is highly skewed (γ1 = 38.15801681) Skewed
QT_MAT_EJA_MED_FIC is highly skewed (γ1 = 246.9488892) Skewed
QT_MAT_EJA_MED_TEC is highly skewed (γ1 = 54.43418596) Skewed
QT_MAT_BAS_FEM is highly skewed (γ1 = 42.52214168) Skewed
QT_MAT_BAS_MASC is highly skewed (γ1 = 38.56459539) Skewed
QT_MAT_BAS_BRANCA is highly skewed (γ1 = 93.41645333) Skewed
QT_MAT_BAS_PRETA is highly skewed (γ1 = 72.94248536) Skewed
QT_MAT_BAS_AMARELA is highly skewed (γ1 = 47.20749118) Skewed
QT_MAT_BAS_INDIGENA is highly skewed (γ1 = 25.81296728) Skewed
QT_MAT_BAS_18_MAIS is highly skewed (γ1 = 153.2855613) Skewed
QT_MAT_BAS_EAD is highly skewed (γ1 = 190.9217514) Skewed
QT_MAT_ZR_URB is highly skewed (γ1 = 36.80032285) Skewed
QT_MAT_ZR_NA is highly skewed (γ1 = 149.0037089) Skewed
QT_TUR_PROF is highly skewed (γ1 = 45.98595852) Skewed
QT_TUR_PROF_TEC is highly skewed (γ1 = 50.0728127) Skewed
QT_TUR_EJA is highly skewed (γ1 = 25.9808401) Skewed
QT_TUR_EJA_MED is highly skewed (γ1 = 42.42593929) Skewed
QT_TUR_BAS_EAD is highly skewed (γ1 = 189.2447197) Skewed
CO_ENTIDADE has unique values Unique
CO_ORGAO_REGIONAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
TP_LOCALIZACAO_DIFERENCIADA has 168720 (77.5%) zeros Zeros
IN_VINCULO_SEGURANCA_PUBLICA has 137684 (63.3%) zeros Zeros
IN_VINCULO_SECRETARIA_SAUDE has 137894 (63.4%) zeros Zeros
IN_VINCULO_OUTRO_ORGAO has 137524 (63.2%) zeros Zeros
IN_PODER_PUBLICO_PARCERIA has 170483 (78.3%) zeros Zeros
IN_FORMA_CONT_TERMO_COLABORA has 3050 (1.4%) zeros Zeros
IN_FORMA_CONT_TERMO_FOMENTO has 8935 (4.1%) zeros Zeros
IN_FORMA_CONT_ACORDO_COOP has 9149 (4.2%) zeros Zeros
IN_FORMA_CONT_PRESTACAO_SERV has 8230 (3.8%) zeros Zeros
IN_FORMA_CONT_COOP_TEC_FIN has 9307 (4.3%) zeros Zeros
IN_FORMA_CONT_CONSORCIO_PUB has 9500 (4.4%) zeros Zeros
IN_FORMA_CONT_MU_TERMO_COLAB has 2657 (1.2%) zeros Zeros
IN_FORMA_CONT_MU_TERMO_FOMENTO has 8056 (3.7%) zeros Zeros
IN_FORMA_CONT_MU_ACORDO_COOP has 8467 (3.9%) zeros Zeros
IN_FORMA_CONT_MU_PREST_SERV has 7646 (3.5%) zeros Zeros
IN_FORMA_CONT_MU_COOP_TEC_FIN has 8368 (3.8%) zeros Zeros
IN_FORMA_CONT_MU_CONSORCIO_PUB has 8546 (3.9%) zeros Zeros
IN_MANT_ESCOLA_PRIVADA_EMP has 13096 (6.0%) zeros Zeros
IN_MANT_ESCOLA_PRIVADA_ONG has 41884 (19.2%) zeros Zeros
IN_MANT_ESCOLA_PRIVADA_OSCIP has 41936 (19.3%) zeros Zeros
IN_MANT_ESCOLA_PRIV_ONG_OSCIP has 41539 (19.1%) zeros Zeros
IN_MANT_ESCOLA_PRIVADA_SIND has 41155 (18.9%) zeros Zeros
IN_MANT_ESCOLA_PRIVADA_SIST_S has 40979 (18.8%) zeros Zeros
IN_MANT_ESCOLA_PRIVADA_S_FINS has 30524 (14.0%) zeros Zeros
TP_REGULAMENTACAO has 4522 (2.1%) zeros Zeros
IN_LOCAL_FUNC_PREDIO_ESCOLAR has 4178 (1.9%) zeros Zeros
IN_LOCAL_FUNC_SOCIOEDUCATIVO has 179997 (82.7%) zeros Zeros
IN_LOCAL_FUNC_UNID_PRISIONAL has 179610 (82.5%) zeros Zeros
IN_LOCAL_FUNC_PRISIONAL_SOCIO has 179405 (82.4%) zeros Zeros
IN_LOCAL_FUNC_GALPAO has 177755 (81.7%) zeros Zeros
IN_LOCAL_FUNC_SALAS_OUTRA_ESC has 174513 (80.2%) zeros Zeros
IN_LOCAL_FUNC_OUTROS has 169061 (77.7%) zeros Zeros
IN_PREDIO_COMPARTILHADO has 167804 (77.1%) zeros Zeros
IN_AGUA_POTAVEL has 7912 (3.6%) zeros Zeros
IN_AGUA_REDE_PUBLICA has 40864 (18.8%) zeros Zeros
IN_AGUA_POCO_ARTESIANO has 151675 (69.7%) zeros Zeros
IN_AGUA_CACIMBA has 164832 (75.7%) zeros Zeros
IN_AGUA_FONTE_RIO has 173303 (79.6%) zeros Zeros
IN_AGUA_INEXISTENTE has 177167 (81.4%) zeros Zeros
IN_ENERGIA_REDE_PUBLICA has 5636 (2.6%) zeros Zeros
IN_ENERGIA_GERADOR_FOSSIL has 178237 (81.9%) zeros Zeros
IN_ENERGIA_RENOVAVEL has 176088 (80.9%) zeros Zeros
IN_ENERGIA_INEXISTENTE has 177645 (81.6%) zeros Zeros
IN_ESGOTO_REDE_PUBLICA has 76910 (35.3%) zeros Zeros
IN_ESGOTO_FOSSA_SEPTICA has 138704 (63.7%) zeros Zeros
IN_ESGOTO_FOSSA_COMUM has 147634 (67.8%) zeros Zeros
IN_ESGOTO_FOSSA has 106108 (48.8%) zeros Zeros
IN_ESGOTO_INEXISTENTE has 173867 (79.9%) zeros Zeros
IN_LIXO_SERVICO_COLETA has 30517 (14.0%) zeros Zeros
IN_LIXO_QUEIMA has 150461 (69.1%) zeros Zeros
IN_LIXO_ENTERRA has 175994 (80.9%) zeros Zeros
IN_LIXO_DESTINO_FINAL_PUBLICO has 176020 (80.9%) zeros Zeros
IN_LIXO_DESCARTA_OUTRA_AREA has 173642 (79.8%) zeros Zeros
IN_TRATAMENTO_LIXO_SEPARACAO has 119258 (54.8%) zeros Zeros
IN_TRATAMENTO_LIXO_REUTILIZA has 172092 (79.1%) zeros Zeros
IN_TRATAMENTO_LIXO_RECICLAGEM has 160007 (73.5%) zeros Zeros
IN_TRATAMENTO_LIXO_INEXISTENTE has 67081 (30.8%) zeros Zeros
IN_ALMOXARIFADO has 88886 (40.8%) zeros Zeros
IN_AREA_VERDE has 116775 (53.7%) zeros Zeros
IN_AUDITORIO has 157897 (72.6%) zeros Zeros
IN_BANHEIRO has 4986 (2.3%) zeros Zeros
IN_BANHEIRO_EI has 108363 (49.8%) zeros Zeros
IN_BANHEIRO_PNE has 84829 (39.0%) zeros Zeros
IN_BANHEIRO_FUNCIONARIOS has 71447 (32.8%) zeros Zeros
IN_BANHEIRO_CHUVEIRO has 100992 (46.4%) zeros Zeros
IN_BIBLIOTECA has 114348 (52.5%) zeros Zeros
IN_BIBLIOTECA_SALA_LEITURA has 85819 (39.4%) zeros Zeros
IN_COZINHA has 13429 (6.2%) zeros Zeros
IN_DESPENSA has 58853 (27.0%) zeros Zeros
IN_DORMITORIO_ALUNO has 175021 (80.4%) zeros Zeros
IN_DORMITORIO_PROFESSOR has 178150 (81.9%) zeros Zeros
IN_LABORATORIO_CIENCIAS has 157614 (72.4%) zeros Zeros
IN_LABORATORIO_INFORMATICA has 125760 (57.8%) zeros Zeros
IN_LABORATORIO_EDUC_PROF has 177181 (81.4%) zeros Zeros
IN_PATIO_COBERTO has 77657 (35.7%) zeros Zeros
IN_PATIO_DESCOBERTO has 92715 (42.6%) zeros Zeros
IN_PARQUE_INFANTIL has 114019 (52.4%) zeros Zeros
IN_PISCINA has 175203 (80.5%) zeros Zeros
IN_QUADRA_ESPORTES has 111652 (51.3%) zeros Zeros
IN_QUADRA_ESPORTES_COBERTA has 129179 (59.4%) zeros Zeros
IN_QUADRA_ESPORTES_DESCOBERTA has 154096 (70.8%) zeros Zeros
IN_REFEITORIO has 86913 (39.9%) zeros Zeros
IN_SALA_ATELIE_ARTES has 171333 (78.7%) zeros Zeros
IN_SALA_MUSICA_CORAL has 175780 (80.8%) zeros Zeros
IN_SALA_ESTUDIO_DANCA has 176888 (81.3%) zeros Zeros
IN_SALA_MULTIUSO has 162334 (74.6%) zeros Zeros
IN_SALA_ESTUDIO_GRAVACAO has 179655 (82.6%) zeros Zeros
IN_SALA_OFICINAS_EDUC_PROF has 178622 (82.1%) zeros Zeros
IN_SALA_DIRETORIA has 48345 (22.2%) zeros Zeros
IN_SALA_LEITURA has 131108 (60.2%) zeros Zeros
IN_SALA_PROFESSOR has 64295 (29.5%) zeros Zeros
IN_SALA_REPOUSO_ALUNO has 171524 (78.8%) zeros Zeros
IN_SECRETARIA has 45720 (21.0%) zeros Zeros
IN_SALA_ATENDIMENTO_ESPECIAL has 138531 (63.7%) zeros Zeros
IN_TERREIRAO has 158577 (72.9%) zeros Zeros
IN_VIVEIRO has 178512 (82.0%) zeros Zeros
IN_DEPENDENCIAS_OUTRAS has 178437 (82.0%) zeros Zeros
IN_ACESSIBILIDADE_CORRIMAO has 123970 (57.0%) zeros Zeros
IN_ACESSIBILIDADE_ELEVADOR has 172215 (79.1%) zeros Zeros
IN_ACESSIBILIDADE_PISOS_TATEIS has 161175 (74.1%) zeros Zeros
IN_ACESSIBILIDADE_VAO_LIVRE has 108905 (50.0%) zeros Zeros
IN_ACESSIBILIDADE_RAMPAS has 81456 (37.4%) zeros Zeros
IN_ACESSIBILIDADE_SINAL_SONORO has 175885 (80.8%) zeros Zeros
IN_ACESSIBILIDADE_SINAL_TATIL has 172264 (79.2%) zeros Zeros
IN_ACESSIBILIDADE_SINAL_VISUAL has 163479 (75.1%) zeros Zeros
IN_ACESSIBILIDADE_INEXISTENTE has 123361 (56.7%) zeros Zeros
QT_SALAS_UTILIZADAS_DENTRO has 4178 (1.9%) zeros Zeros
QT_SALAS_UTILIZADAS_FORA has 160724 (73.9%) zeros Zeros
QT_SALAS_UTILIZA_CLIMATIZADAS has 107182 (49.3%) zeros Zeros
QT_SALAS_UTILIZADAS_ACESSIVEIS has 117345 (53.9%) zeros Zeros
IN_EQUIP_PARABOLICA has 159531 (73.3%) zeros Zeros
IN_COMPUTADOR has 27640 (12.7%) zeros Zeros
IN_EQUIP_COPIADORA has 107862 (49.6%) zeros Zeros
IN_EQUIP_IMPRESSORA has 61990 (28.5%) zeros Zeros
IN_EQUIP_IMPRESSORA_MULT has 52467 (24.1%) zeros Zeros
IN_EQUIP_SCANNER has 131016 (60.2%) zeros Zeros
IN_EQUIP_NENHUM has 164523 (75.6%) zeros Zeros
IN_EQUIP_DVD has 100574 (46.2%) zeros Zeros
QT_EQUIP_DVD has 100574 (46.2%) zeros Zeros
IN_EQUIP_SOM has 48497 (22.3%) zeros Zeros
QT_EQUIP_SOM has 48497 (22.3%) zeros Zeros
IN_EQUIP_TV has 39602 (18.2%) zeros Zeros
QT_EQUIP_TV has 39602 (18.2%) zeros Zeros
IN_EQUIP_LOUSA_DIGITAL has 155279 (71.4%) zeros Zeros
QT_EQUIP_LOUSA_DIGITAL has 155279 (71.4%) zeros Zeros
IN_EQUIP_MULTIMIDIA has 69271 (31.8%) zeros Zeros
QT_EQUIP_MULTIMIDIA has 69271 (31.8%) zeros Zeros
IN_DESKTOP_ALUNO has 95061 (43.7%) zeros Zeros
QT_DESKTOP_ALUNO has 95061 (43.7%) zeros Zeros
IN_COMP_PORTATIL_ALUNO has 107777 (49.5%) zeros Zeros
QT_COMP_PORTATIL_ALUNO has 107777 (49.5%) zeros Zeros
IN_TABLET_ALUNO has 149172 (68.5%) zeros Zeros
QT_TABLET_ALUNO has 149172 (68.5%) zeros Zeros
IN_INTERNET has 16375 (7.5%) zeros Zeros
IN_INTERNET_ALUNOS has 107148 (49.2%) zeros Zeros
IN_INTERNET_ADMINISTRATIVO has 21875 (10.1%) zeros Zeros
IN_INTERNET_APRENDIZAGEM has 66102 (30.4%) zeros Zeros
IN_INTERNET_COMUNIDADE has 170398 (78.3%) zeros Zeros
IN_ACESSO_INTERNET_COMPUTADOR has 118411 (54.4%) zeros Zeros
IN_ACES_INTERNET_DISP_PESSOAIS has 142811 (65.6%) zeros Zeros
TP_REDE_LOCAL has 18109 (8.3%) zeros Zeros
IN_BANDA_LARGA has 21849 (10.0%) zeros Zeros
IN_PROF_ADMINISTRATIVOS has 71332 (32.8%) zeros Zeros
QT_PROF_ADMINISTRATIVOS has 71332 (32.8%) zeros Zeros
IN_PROF_SERVICOS_GERAIS has 21442 (9.9%) zeros Zeros
QT_PROF_SERVICOS_GERAIS has 21442 (9.9%) zeros Zeros
IN_PROF_BIBLIOTECARIO has 141037 (64.8%) zeros Zeros
QT_PROF_BIBLIOTECARIO has 141037 (64.8%) zeros Zeros
IN_PROF_SAUDE has 172960 (79.5%) zeros Zeros
QT_PROF_SAUDE has 172960 (79.5%) zeros Zeros
IN_PROF_COORDENADOR has 126643 (58.2%) zeros Zeros
QT_PROF_COORDENADOR has 126643 (58.2%) zeros Zeros
IN_PROF_FONAUDIOLOGO has 173573 (79.8%) zeros Zeros
QT_PROF_FONAUDIOLOGO has 173573 (79.8%) zeros Zeros
IN_PROF_NUTRICIONISTA has 142445 (65.5%) zeros Zeros
QT_PROF_NUTRICIONISTA has 142445 (65.5%) zeros Zeros
IN_PROF_PSICOLOGO has 154109 (70.8%) zeros Zeros
QT_PROF_PSICOLOGO has 154109 (70.8%) zeros Zeros
IN_PROF_ALIMENTACAO has 58740 (27.0%) zeros Zeros
QT_PROF_ALIMENTACAO has 58740 (27.0%) zeros Zeros
IN_PROF_PEDAGOGIA has 59574 (27.4%) zeros Zeros
QT_PROF_PEDAGOGIA has 59574 (27.4%) zeros Zeros
IN_PROF_SECRETARIO has 76285 (35.1%) zeros Zeros
QT_PROF_SECRETARIO has 76285 (35.1%) zeros Zeros
IN_PROF_SEGURANCA has 142467 (65.5%) zeros Zeros
QT_PROF_SEGURANCA has 142467 (65.5%) zeros Zeros
IN_PROF_MONITORES has 154806 (71.1%) zeros Zeros
QT_PROF_MONITORES has 154806 (71.1%) zeros Zeros
IN_PROF_GESTAO has 93788 (43.1%) zeros Zeros
QT_PROF_GESTAO has 93788 (43.1%) zeros Zeros
IN_PROF_ASSIST_SOCIAL has 165348 (76.0%) zeros Zeros
QT_PROF_ASSIST_SOCIAL has 165348 (76.0%) zeros Zeros
IN_PROF_TRAD_LIBRAS has 176305 (81.0%) zeros Zeros
QT_PROF_TRAD_LIBRAS has 176305 (81.0%) zeros Zeros
IN_ALIMENTACAO has 28828 (13.2%) zeros Zeros
IN_MATERIAL_PED_MULTIMIDIA has 114758 (52.7%) zeros Zeros
IN_MATERIAL_PED_INFANTIL has 87681 (40.3%) zeros Zeros
IN_MATERIAL_PED_CIENTIFICO has 149259 (68.6%) zeros Zeros
IN_MATERIAL_PED_DIFUSAO has 87808 (40.3%) zeros Zeros
IN_MATERIAL_PED_MUSICAL has 135754 (62.4%) zeros Zeros
IN_MATERIAL_PED_JOGOS has 38100 (17.5%) zeros Zeros
IN_MATERIAL_PED_ARTISTICAS has 105274 (48.4%) zeros Zeros
IN_MATERIAL_PED_PROFISSIONAL has 171292 (78.7%) zeros Zeros
IN_MATERIAL_PED_DESPORTIVA has 64840 (29.8%) zeros Zeros
IN_MATERIAL_PED_INDIGENA has 173216 (79.6%) zeros Zeros
IN_MATERIAL_PED_ETNICO has 147854 (67.9%) zeros Zeros
IN_MATERIAL_PED_CAMPO has 163009 (74.9%) zeros Zeros
IN_MATERIAL_PED_BIL_SURDOS has 177039 (81.4%) zeros Zeros
IN_MATERIAL_PED_NENHUM has 162675 (74.8%) zeros Zeros
IN_EDUCACAO_INDIGENA has 176602 (81.1%) zeros Zeros
IN_EXAME_SELECAO has 173340 (79.7%) zeros Zeros
IN_RESERVA_PPI has 5522 (2.5%) zeros Zeros
IN_RESERVA_RENDA has 4892 (2.2%) zeros Zeros
IN_RESERVA_PUBLICA has 5143 (2.4%) zeros Zeros
IN_RESERVA_PCD has 5041 (2.3%) zeros Zeros
IN_RESERVA_OUTROS has 5646 (2.6%) zeros Zeros
IN_RESERVA_NENHUMA has 2598 (1.2%) zeros Zeros
IN_REDES_SOCIAIS has 73950 (34.0%) zeros Zeros
IN_ESPACO_ATIVIDADE has 97511 (44.8%) zeros Zeros
IN_ESPACO_EQUIPAMENTO has 102846 (47.3%) zeros Zeros
IN_ORGAO_ASS_PAIS has 173070 (79.5%) zeros Zeros
IN_ORGAO_ASS_PAIS_MESTRES has 132118 (60.7%) zeros Zeros
IN_ORGAO_CONSELHO_ESCOLAR has 66912 (30.7%) zeros Zeros
IN_ORGAO_GREMIO_ESTUDANTIL has 159354 (73.2%) zeros Zeros
IN_ORGAO_OUTROS has 165039 (75.8%) zeros Zeros
IN_ORGAO_NENHUM has 132469 (60.9%) zeros Zeros
TP_PROPOSTA_PEDAGOGICA has 38736 (17.8%) zeros Zeros
TP_AEE has 140759 (64.7%) zeros Zeros
TP_ATIVIDADE_COMPLEMENTAR has 151996 (69.8%) zeros Zeros
IN_MEDIACAO_SEMIPRESENCIAL has 179793 (82.6%) zeros Zeros
IN_MEDIACAO_EAD has 177472 (81.5%) zeros Zeros
IN_REGULAR has 6496 (3.0%) zeros Zeros
IN_DIURNO has 2719 (1.2%) zeros Zeros
IN_NOTURNO has 143205 (65.8%) zeros Zeros
IN_EAD has 175331 (80.6%) zeros Zeros
IN_INF has 64713 (29.7%) zeros Zeros
IN_INF_CRE has 101828 (46.8%) zeros Zeros
IN_INF_PRE has 78680 (36.2%) zeros Zeros
IN_FUND has 57126 (26.2%) zeros Zeros
IN_FUND_AI has 74691 (34.3%) zeros Zeros
IN_FUND_AF has 116670 (53.6%) zeros Zeros
IN_MED has 148722 (68.3%) zeros Zeros
IN_PROF has 169313 (77.8%) zeros Zeros
IN_PROF_TEC has 170426 (78.3%) zeros Zeros
IN_EJA has 148154 (68.1%) zeros Zeros
IN_EJA_FUND has 153658 (70.6%) zeros Zeros
IN_EJA_MED has 169088 (77.7%) zeros Zeros
IN_ESP has 38372 (17.6%) zeros Zeros
IN_ESP_CC has 40094 (18.4%) zeros Zeros
IN_ESP_CE has 175409 (80.6%) zeros Zeros
QT_MAT_INF has 64713 (29.7%) zeros Zeros
QT_MAT_INF_CRE has 101828 (46.8%) zeros Zeros
QT_MAT_INF_PRE has 78680 (36.2%) zeros Zeros
QT_MAT_FUND has 57126 (26.2%) zeros Zeros
QT_MAT_FUND_AI has 74691 (34.3%) zeros Zeros
QT_MAT_FUND_AI_1 has 81883 (37.6%) zeros Zeros
QT_MAT_FUND_AI_2 has 82208 (37.8%) zeros Zeros
QT_MAT_FUND_AI_3 has 82790 (38.0%) zeros Zeros
QT_MAT_FUND_AI_4 has 84338 (38.8%) zeros Zeros
QT_MAT_FUND_AI_5 has 85916 (39.5%) zeros Zeros
QT_MAT_FUND_AF has 116670 (53.6%) zeros Zeros
QT_MAT_FUND_AF_6 has 118673 (54.5%) zeros Zeros
QT_MAT_FUND_AF_7 has 119494 (54.9%) zeros Zeros
QT_MAT_FUND_AF_8 has 120263 (55.3%) zeros Zeros
QT_MAT_FUND_AF_9 has 121173 (55.7%) zeros Zeros
QT_MAT_MED has 148722 (68.3%) zeros Zeros
QT_MAT_MED_PROP has 150473 (69.1%) zeros Zeros
QT_MAT_MED_PROP_1 has 151221 (69.5%) zeros Zeros
QT_MAT_MED_PROP_2 has 151761 (69.7%) zeros Zeros
QT_MAT_MED_PROP_3 has 152114 (69.9%) zeros Zeros
QT_MAT_MED_PROP_4 has 178448 (82.0%) zeros Zeros
QT_MAT_MED_PROP_NS has 176386 (81.1%) zeros Zeros
QT_MAT_MED_CT has 174693 (80.3%) zeros Zeros
QT_MAT_MED_CT_1 has 175518 (80.7%) zeros Zeros
QT_MAT_MED_CT_2 has 175433 (80.6%) zeros Zeros
QT_MAT_MED_CT_3 has 176064 (80.9%) zeros Zeros
QT_MAT_MED_CT_4 has 178133 (81.9%) zeros Zeros
QT_MAT_MED_CT_NS has 178277 (81.9%) zeros Zeros
QT_MAT_MED_NM has 177938 (81.8%) zeros Zeros
QT_MAT_MED_NM_1 has 178177 (81.9%) zeros Zeros
QT_MAT_MED_NM_2 has 178208 (81.9%) zeros Zeros
QT_MAT_MED_NM_3 has 178129 (81.9%) zeros Zeros
QT_MAT_MED_NM_4 has 178169 (81.9%) zeros Zeros
QT_MAT_PROF has 169313 (77.8%) zeros Zeros
QT_MAT_PROF_TEC has 170426 (78.3%) zeros Zeros
QT_MAT_PROF_TEC_CONC has 175319 (80.6%) zeros Zeros
QT_MAT_PROF_TEC_SUBS has 173936 (79.9%) zeros Zeros
QT_MAT_PROF_FIC_CONC has 177809 (81.7%) zeros Zeros
QT_MAT_EJA has 148154 (68.1%) zeros Zeros
QT_MAT_EJA_FUND has 153658 (70.6%) zeros Zeros
QT_MAT_EJA_FUND_AI has 160270 (73.6%) zeros Zeros
QT_MAT_EJA_FUND_AF has 162876 (74.8%) zeros Zeros
QT_MAT_EJA_FUND_FIC has 177910 (81.8%) zeros Zeros
QT_MAT_EJA_MED has 169088 (77.7%) zeros Zeros
QT_MAT_EJA_MED_NPROF has 169880 (78.1%) zeros Zeros
QT_MAT_EJA_MED_FIC has 177930 (81.8%) zeros Zeros
QT_MAT_EJA_MED_TEC has 177993 (81.8%) zeros Zeros
QT_MAT_ESP has 38372 (17.6%) zeros Zeros
QT_MAT_ESP_CC has 40094 (18.4%) zeros Zeros
QT_MAT_ESP_CE has 175409 (80.6%) zeros Zeros
QT_MAT_BAS_ND has 20546 (9.4%) zeros Zeros
QT_MAT_BAS_BRANCA has 16648 (7.6%) zeros Zeros
QT_MAT_BAS_PRETA has 49337 (22.7%) zeros Zeros
QT_MAT_BAS_PARDA has 8233 (3.8%) zeros Zeros
QT_MAT_BAS_AMARELA has 124338 (57.1%) zeros Zeros
QT_MAT_BAS_INDIGENA has 146616 (67.4%) zeros Zeros
QT_MAT_BAS_0_3 has 98276 (45.2%) zeros Zeros
QT_MAT_BAS_4_5 has 61927 (28.5%) zeros Zeros
QT_MAT_BAS_6_10 has 39003 (17.9%) zeros Zeros
QT_MAT_BAS_11_14 has 65693 (30.2%) zeros Zeros
QT_MAT_BAS_15_17 has 99499 (45.7%) zeros Zeros
QT_MAT_BAS_18_MAIS has 110451 (50.8%) zeros Zeros
QT_MAT_BAS_D has 2719 (1.2%) zeros Zeros
QT_MAT_BAS_N has 143205 (65.8%) zeros Zeros
QT_MAT_BAS_EAD has 175331 (80.6%) zeros Zeros
QT_MAT_INF_INT has 131848 (60.6%) zeros Zeros
QT_MAT_INF_CRE_INT has 143069 (65.7%) zeros Zeros
QT_MAT_INF_PRE_INT has 151280 (69.5%) zeros Zeros
QT_MAT_FUND_INT has 127756 (58.7%) zeros Zeros
QT_MAT_FUND_AI_INT has 141430 (65.0%) zeros Zeros
QT_MAT_FUND_AF_INT has 152612 (70.1%) zeros Zeros
QT_MAT_MED_INT has 164947 (75.8%) zeros Zeros
QT_MAT_ZR_URB has 19689 (9.0%) zeros Zeros
QT_MAT_ZR_RUR has 33819 (15.5%) zeros Zeros
QT_MAT_ZR_NA has 178376 (82.0%) zeros Zeros
QT_TRANSP_PUBLICO has 78925 (36.3%) zeros Zeros
QT_TRANSP_RESP_EST has 165670 (76.1%) zeros Zeros
QT_TRANSP_RESP_MUN has 87712 (40.3%) zeros Zeros
QT_DOC_INF has 74892 (34.4%) zeros Zeros
QT_DOC_INF_CRE has 113822 (52.3%) zeros Zeros
QT_DOC_INF_PRE has 88671 (40.7%) zeros Zeros
QT_DOC_FUND has 56900 (26.1%) zeros Zeros
QT_DOC_FUND_AI has 88623 (40.7%) zeros Zeros
QT_DOC_FUND_AF has 98844 (45.4%) zeros Zeros
QT_DOC_MED has 148499 (68.2%) zeros Zeros
QT_DOC_PROF has 169087 (77.7%) zeros Zeros
QT_DOC_PROF_TEC has 170200 (78.2%) zeros Zeros
QT_DOC_EJA has 147925 (68.0%) zeros Zeros
QT_DOC_EJA_FUND has 153428 (70.5%) zeros Zeros
QT_DOC_EJA_MED has 168859 (77.6%) zeros Zeros
QT_DOC_ESP has 38388 (17.6%) zeros Zeros
QT_DOC_ESP_CC has 40110 (18.4%) zeros Zeros
QT_DOC_ESP_CE has 175180 (80.5%) zeros Zeros
QT_TUR_INF has 74887 (34.4%) zeros Zeros
QT_TUR_INF_CRE has 113457 (52.1%) zeros Zeros
QT_TUR_INF_PRE has 88893 (40.8%) zeros Zeros
QT_TUR_FUND has 57126 (26.2%) zeros Zeros
QT_TUR_FUND_AI has 88849 (40.8%) zeros Zeros
QT_TUR_FUND_AF has 99068 (45.5%) zeros Zeros
QT_TUR_MED has 148722 (68.3%) zeros Zeros
QT_TUR_PROF has 169313 (77.8%) zeros Zeros
QT_TUR_PROF_TEC has 170426 (78.3%) zeros Zeros
QT_TUR_EJA has 148154 (68.1%) zeros Zeros
QT_TUR_EJA_FUND has 153658 (70.6%) zeros Zeros
QT_TUR_EJA_MED has 169088 (77.7%) zeros Zeros
QT_TUR_ESP has 38372 (17.6%) zeros Zeros
QT_TUR_ESP_CC has 40094 (18.4%) zeros Zeros
QT_TUR_ESP_CE has 175409 (80.6%) zeros Zeros
QT_TUR_BAS_D has 2719 (1.2%) zeros Zeros
QT_TUR_BAS_N has 143205 (65.8%) zeros Zeros
QT_TUR_BAS_EAD has 175331 (80.6%) zeros Zeros
QT_TUR_INF_INT has 143943 (66.1%) zeros Zeros
QT_TUR_INF_CRE_INT has 147564 (67.8%) zeros Zeros
QT_TUR_INF_PRE_INT has 164178 (75.4%) zeros Zeros
QT_TUR_FUND_INT has 164223 (75.5%) zeros Zeros
QT_TUR_FUND_AI_INT has 170942 (78.5%) zeros Zeros
QT_TUR_FUND_AF_INT has 169328 (77.8%) zeros Zeros
QT_TUR_MED_INT has 170531 (78.4%) zeros Zeros

Reproduction

Analysis started2025-05-20 12:10:40.155294
Analysis finished2025-05-20 12:10:48.198066
Duration8.04 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

NU_ANO_CENSO
Real number (ℝ)

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2023
Minimum2023
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:48.214136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2023
5-th percentile2023
Q12023
median2023
Q32023
95-th percentile2023
Maximum2023
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2023
Median Absolute Deviation (MAD)0
Skewness0
Sum440255375
Variance0
MonotonicityIncreasing
2025-05-20T09:10:48.234847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2023 217625
100.0%
ValueCountFrequency (%)
2023 217625
100.0%
ValueCountFrequency (%)
2023 217625
100.0%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size13.3 MiB
2025-05-20T09:10:48.270859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length12
Median length8
Mean length6.852953475
Min length3

Characters and Unicode

Total characters1491374
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNorte
2nd rowNorte
3rd rowNorte
4th rowNorte
5th rowNorte
ValueCountFrequency (%)
nordeste 76348
35.1%
sudeste 75658
34.8%
sul 28662
 
13.2%
norte 25498
 
11.7%
centro-oeste 11459
 
5.3%
2025-05-20T09:10:48.331656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 363887
24.4%
t 200422
13.4%
s 163465
11.0%
d 152006
10.2%
o 113305
 
7.6%
r 113305
 
7.6%
S 104320
 
7.0%
u 104320
 
7.0%
N 101846
 
6.8%
l 28662
 
1.9%
Other values (4) 45836
 
3.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1491374
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 363887
24.4%
t 200422
13.4%
s 163465
11.0%
d 152006
10.2%
o 113305
 
7.6%
r 113305
 
7.6%
S 104320
 
7.0%
u 104320
 
7.0%
N 101846
 
6.8%
l 28662
 
1.9%
Other values (4) 45836
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1491374
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 363887
24.4%
t 200422
13.4%
s 163465
11.0%
d 152006
10.2%
o 113305
 
7.6%
r 113305
 
7.6%
S 104320
 
7.0%
u 104320
 
7.0%
N 101846
 
6.8%
l 28662
 
1.9%
Other values (4) 45836
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1491374
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 363887
24.4%
t 200422
13.4%
s 163465
11.0%
d 152006
10.2%
o 113305
 
7.6%
r 113305
 
7.6%
S 104320
 
7.0%
u 104320
 
7.0%
N 101846
 
6.8%
l 28662
 
1.9%
Other values (4) 45836
 
3.1%

CO_REGIAO
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.651859851
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:48.351711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.020102483
Coefficient of variation (CV)0.3846743572
Kurtosis-0.2511053236
Mean2.651859851
Median Absolute Deviation (MAD)1
Skewness0.3710015561
Sum577111
Variance1.040609077
MonotonicityIncreasing
2025-05-20T09:10:48.371636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 76348
35.1%
3 75658
34.8%
4 28662
 
13.2%
1 25498
 
11.7%
5 11459
 
5.3%
ValueCountFrequency (%)
1 25498
 
11.7%
2 76348
35.1%
3 75658
34.8%
4 28662
 
13.2%
5 11459
 
5.3%
ValueCountFrequency (%)
5 11459
 
5.3%
4 28662
 
13.2%
3 75658
34.8%
2 76348
35.1%
1 25498
 
11.7%

NO_UF
Text

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.1 MiB
2025-05-20T09:10:48.426955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.298587019
Min length4

Characters and Unicode

Total characters2023605
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRondônia
2nd rowRondônia
3rd rowRondônia
4th rowRondônia
5th rowRondônia
ValueCountFrequency (%)
são 34099
 
9.2%
paulo 34099
 
9.2%
rio 29383
 
7.9%
minas 24293
 
6.5%
gerais 24293
 
6.5%
bahia 19611
 
5.3%
do 18093
 
4.9%
grande 16154
 
4.3%
maranhão 13635
 
3.7%
de 13229
 
3.6%
Other values (26) 145751
39.1%
2025-05-20T09:10:48.510960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 326915
16.2%
o 201614
 
10.0%
155015
 
7.7%
r 144925
 
7.2%
i 142973
 
7.1%
n 119884
 
5.9%
e 102069
 
5.0%
s 81089
 
4.0%
P 77737
 
3.8%
u 63393
 
3.1%
Other values (27) 607991
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2023605
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 326915
16.2%
o 201614
 
10.0%
155015
 
7.7%
r 144925
 
7.2%
i 142973
 
7.1%
n 119884
 
5.9%
e 102069
 
5.0%
s 81089
 
4.0%
P 77737
 
3.8%
u 63393
 
3.1%
Other values (27) 607991
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2023605
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 326915
16.2%
o 201614
 
10.0%
155015
 
7.7%
r 144925
 
7.2%
i 142973
 
7.1%
n 119884
 
5.9%
e 102069
 
5.0%
s 81089
 
4.0%
P 77737
 
3.8%
u 63393
 
3.1%
Other values (27) 607991
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2023605
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 326915
16.2%
o 201614
 
10.0%
155015
 
7.7%
r 144925
 
7.2%
i 142973
 
7.1%
n 119884
 
5.9%
e 102069
 
5.0%
s 81089
 
4.0%
P 77737
 
3.8%
u 63393
 
3.1%
Other values (27) 607991
30.0%

SG_UF
Text

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.2 MiB
2025-05-20T09:10:48.548602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters435250
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRO
2nd rowRO
3rd rowRO
4th rowRO
5th rowRO
ValueCountFrequency (%)
sp 34099
15.7%
mg 24293
11.2%
ba 19611
 
9.0%
ma 13635
 
6.3%
rj 13229
 
6.1%
pa 12092
 
5.6%
rs 11287
 
5.2%
ce 10648
 
4.9%
pe 10219
 
4.7%
pr 9999
 
4.6%
Other values (17) 58513
26.9%
2025-05-20T09:10:48.608132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 78687
18.1%
S 61305
14.1%
A 57567
13.2%
M 49169
11.3%
R 42680
9.8%
G 29340
 
6.7%
E 27471
 
6.3%
B 25090
 
5.8%
C 19682
 
4.5%
J 13229
 
3.0%
Other values (7) 31030
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 435250
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 78687
18.1%
S 61305
14.1%
A 57567
13.2%
M 49169
11.3%
R 42680
9.8%
G 29340
 
6.7%
E 27471
 
6.3%
B 25090
 
5.8%
C 19682
 
4.5%
J 13229
 
3.0%
Other values (7) 31030
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 435250
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 78687
18.1%
S 61305
14.1%
A 57567
13.2%
M 49169
11.3%
R 42680
9.8%
G 29340
 
6.7%
E 27471
 
6.3%
B 25090
 
5.8%
C 19682
 
4.5%
J 13229
 
3.0%
Other values (7) 31030
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 435250
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 78687
18.1%
S 61305
14.1%
A 57567
13.2%
M 49169
11.3%
R 42680
9.8%
G 29340
 
6.7%
E 27471
 
6.3%
B 25090
 
5.8%
C 19682
 
4.5%
J 13229
 
3.0%
Other values (7) 31030
 
7.1%

CO_UF
Real number (ℝ)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.26043423
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:48.631947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q123
median31
Q335
95-th percentile50
Maximum53
Range42
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.437152052
Coefficient of variation (CV)0.3118643962
Kurtosis-0.1753670671
Mean30.26043423
Median Absolute Deviation (MAD)5
Skewness0.1852549846
Sum6585427
Variance89.05983885
MonotonicityIncreasing
2025-05-20T09:10:48.659366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35 34099
15.7%
31 24293
11.2%
29 19611
 
9.0%
21 13635
 
6.3%
33 13229
 
6.1%
15 12092
 
5.6%
43 11287
 
5.2%
23 10648
 
4.9%
26 10219
 
4.7%
41 9999
 
4.6%
Other values (17) 58513
26.9%
ValueCountFrequency (%)
11 1416
 
0.7%
12 1658
 
0.8%
13 6148
2.8%
14 941
 
0.4%
15 12092
5.6%
ValueCountFrequency (%)
53 1319
 
0.6%
52 5047
2.3%
51 3154
 
1.4%
50 1939
 
0.9%
43 11287
5.2%
Distinct5297
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size16.2 MiB
2025-05-20T09:10:48.740111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length32
Median length28
Mean length10.71334635
Min length3

Characters and Unicode

Total characters2331492
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPorto Velho
2nd rowPorto Velho
3rd rowPorto Velho
4th rowPorto Velho
5th rowPorto Velho
ValueCountFrequency (%)
são 21693
 
5.8%
do 19330
 
5.2%
de 13653
 
3.6%
paulo 8796
 
2.3%
rio 7370
 
2.0%
da 4353
 
1.2%
janeiro 4198
 
1.1%
santa 4138
 
1.1%
dos 3327
 
0.9%
nova 3224
 
0.9%
Other values (3959) 284612
76.0%
2025-05-20T09:10:48.853858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 326831
14.0%
o 224210
 
9.6%
r 163501
 
7.0%
157069
 
6.7%
i 153203
 
6.6%
e 137565
 
5.9%
n 108139
 
4.6%
u 86487
 
3.7%
s 81905
 
3.5%
t 79854
 
3.4%
Other values (61) 812728
34.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2331492
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 326831
14.0%
o 224210
 
9.6%
r 163501
 
7.0%
157069
 
6.7%
i 153203
 
6.6%
e 137565
 
5.9%
n 108139
 
4.6%
u 86487
 
3.7%
s 81905
 
3.5%
t 79854
 
3.4%
Other values (61) 812728
34.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2331492
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 326831
14.0%
o 224210
 
9.6%
r 163501
 
7.0%
157069
 
6.7%
i 153203
 
6.6%
e 137565
 
5.9%
n 108139
 
4.6%
u 86487
 
3.7%
s 81905
 
3.5%
t 79854
 
3.4%
Other values (61) 812728
34.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2331492
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 326831
14.0%
o 224210
 
9.6%
r 163501
 
7.0%
157069
 
6.7%
i 153203
 
6.6%
e 137565
 
5.9%
n 108139
 
4.6%
u 86487
 
3.7%
s 81905
 
3.5%
t 79854
 
3.4%
Other values (61) 812728
34.9%

CO_MUNICIPIO
Real number (ℝ)

Distinct5570
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3041387.251
Minimum1100015
Maximum5300108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:48.883336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1100015
5-th percentile1500503
Q12312403
median3118601
Q33547809
95-th percentile5002704
Maximum5300108
Range4200093
Interquartile range (IQR)1235406

Descriptive statistics

Standard deviation947549.8044
Coefficient of variation (CV)0.3115518434
Kurtosis-0.2094852109
Mean3041387.251
Median Absolute Deviation (MAD)513399
Skewness0.1590667929
Sum6.618819005 × 1011
Variance8.978506318 × 1011
MonotonicityNot monotonic
2025-05-20T09:10:48.915052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3550308 8449
 
3.9%
3304557 4198
 
1.9%
3106200 1956
 
0.9%
2304400 1787
 
0.8%
2927408 1581
 
0.7%
5300108 1319
 
0.6%
2611606 1287
 
0.6%
4106902 1172
 
0.5%
1302603 1082
 
0.5%
4314902 989
 
0.5%
Other values (5560) 193805
89.1%
ValueCountFrequency (%)
1100015 31
< 0.1%
1100023 55
< 0.1%
1100031 9
 
< 0.1%
1100049 65
< 0.1%
1100056 15
 
< 0.1%
ValueCountFrequency (%)
5300108 1319
0.6%
5222302 7
 
< 0.1%
5222203 7
 
< 0.1%
5222054 5
 
< 0.1%
5222005 14
 
< 0.1%
Distinct133
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.0 MiB
2025-05-20T09:10:48.991723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length34
Median length24
Mean length10.5835359
Min length4

Characters and Unicode

Total characters2303242
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPorto Velho
2nd rowPorto Velho
3rd rowPorto Velho
4th rowPorto Velho
5th rowPorto Velho
ValueCountFrequency (%)
são 26603
 
6.9%
de 19300
 
5.0%
paulo 17309
 
4.5%
rio 12234
 
3.2%
10142
 
2.6%
janeiro 8576
 
2.2%
do 6975
 
1.8%
luís 6097
 
1.6%
recife 5279
 
1.4%
campinas 5265
 
1.4%
Other values (170) 266984
69.4%
2025-05-20T09:10:49.121898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 306354
 
13.3%
o 218550
 
9.5%
167139
 
7.3%
r 149906
 
6.5%
e 148208
 
6.4%
i 140902
 
6.1%
n 109733
 
4.8%
s 100960
 
4.4%
t 86809
 
3.8%
u 85455
 
3.7%
Other values (48) 789226
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2303242
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 306354
 
13.3%
o 218550
 
9.5%
167139
 
7.3%
r 149906
 
6.5%
e 148208
 
6.4%
i 140902
 
6.1%
n 109733
 
4.8%
s 100960
 
4.4%
t 86809
 
3.8%
u 85455
 
3.7%
Other values (48) 789226
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2303242
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 306354
 
13.3%
o 218550
 
9.5%
167139
 
7.3%
r 149906
 
6.5%
e 148208
 
6.4%
i 140902
 
6.1%
n 109733
 
4.8%
s 100960
 
4.4%
t 86809
 
3.8%
u 85455
 
3.7%
Other values (48) 789226
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2303242
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 306354
 
13.3%
o 218550
 
9.5%
167139
 
7.3%
r 149906
 
6.5%
e 148208
 
6.4%
i 140902
 
6.1%
n 109733
 
4.8%
s 100960
 
4.4%
t 86809
 
3.8%
u 85455
 
3.7%
Other values (48) 789226
34.3%

CO_REGIAO_GEOG_INTERM
Real number (ℝ)

Distinct133
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3029.400156
Minimum1101
Maximum5301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:49.172257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1101
5-th percentile1501
Q12306
median3102
Q33503
95-th percentile5001
Maximum5301
Range4200
Interquartile range (IQR)1197

Descriptive statistics

Standard deviation944.0789924
Coefficient of variation (CV)0.3116389198
Kurtosis-0.178755561
Mean3029.400156
Median Absolute Deviation (MAD)501
Skewness0.1831474888
Sum659273209
Variance891285.144
MonotonicityNot monotonic
2025-05-20T09:10:49.208151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3501 15940
 
7.3%
3301 8576
 
3.9%
2101 5803
 
2.7%
2601 5279
 
2.4%
3510 5265
 
2.4%
3101 5012
 
2.3%
2301 4931
 
2.3%
4301 3945
 
1.8%
2901 3409
 
1.6%
2910 3274
 
1.5%
Other values (123) 156191
71.8%
ValueCountFrequency (%)
1101 781
 
0.4%
1102 635
 
0.3%
1201 904
 
0.4%
1202 754
 
0.3%
1301 2690
1.2%
ValueCountFrequency (%)
5301 1319
0.6%
5206 1088
0.5%
5205 515
 
0.2%
5204 294
 
0.1%
5203 482
 
0.2%
Distinct508
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.2 MiB
2025-05-20T09:10:49.304870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length64
Median length41
Mean length11.18012636
Min length3

Characters and Unicode

Total characters2433075
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPorto Velho
2nd rowPorto Velho
3rd rowPorto Velho
4th rowPorto Velho
5th rowPorto Velho
ValueCountFrequency (%)
são 24845
 
6.3%
15172
 
3.8%
de 15044
 
3.8%
paulo 14923
 
3.8%
do 11852
 
3.0%
rio 11244
 
2.8%
janeiro 8149
 
2.1%
da 4335
 
1.1%
belo 4197
 
1.1%
porto 3946
 
1.0%
Other values (633) 283337
71.4%
2025-05-20T09:10:49.441289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 332139
 
13.7%
o 226444
 
9.3%
179419
 
7.4%
r 166752
 
6.9%
i 160663
 
6.6%
e 153928
 
6.3%
n 116649
 
4.8%
u 91397
 
3.8%
s 87958
 
3.6%
t 87196
 
3.6%
Other values (55) 830530
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2433075
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 332139
 
13.7%
o 226444
 
9.3%
179419
 
7.4%
r 166752
 
6.9%
i 160663
 
6.6%
e 153928
 
6.3%
n 116649
 
4.8%
u 91397
 
3.8%
s 87958
 
3.6%
t 87196
 
3.6%
Other values (55) 830530
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2433075
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 332139
 
13.7%
o 226444
 
9.3%
179419
 
7.4%
r 166752
 
6.9%
i 160663
 
6.6%
e 153928
 
6.3%
n 116649
 
4.8%
u 91397
 
3.8%
s 87958
 
3.6%
t 87196
 
3.6%
Other values (55) 830530
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2433075
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 332139
 
13.7%
o 226444
 
9.3%
179419
 
7.4%
r 166752
 
6.9%
i 160663
 
6.6%
e 153928
 
6.3%
n 116649
 
4.8%
u 91397
 
3.8%
s 87958
 
3.6%
t 87196
 
3.6%
Other values (55) 830530
34.1%

CO_REGIAO_GEOG_IMED
Real number (ℝ)

Distinct510
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302616.2936
Minimum110001
Maximum530001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:49.476759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum110001
5-th percentile150001
Q1230015
median310008
Q3350011
95-th percentile500001
Maximum530001
Range420000
Interquartile range (IQR)119996

Descriptive statistics

Standard deviation94373.27069
Coefficient of variation (CV)0.3118578632
Kurtosis-0.1755201582
Mean302616.2936
Median Absolute Deviation (MAD)50007
Skewness0.1851450406
Sum6.58568709 × 1010
Variance8906314221
MonotonicityNot monotonic
2025-05-20T09:10:49.520990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350001 14526
 
6.7%
330001 8149
 
3.7%
310001 3788
 
1.7%
260001 3388
 
1.6%
230001 3335
 
1.5%
290001 2681
 
1.2%
410001 2497
 
1.1%
430001 2237
 
1.0%
350038 2148
 
1.0%
150001 2086
 
1.0%
Other values (500) 172790
79.4%
ValueCountFrequency (%)
110001 534
0.2%
110002 132
 
0.1%
110003 115
 
0.1%
110004 260
0.1%
110005 251
0.1%
ValueCountFrequency (%)
530001 1319
0.6%
520022 102
 
< 0.1%
520021 196
 
0.1%
520020 325
 
0.1%
520019 465
 
0.2%
Distinct137
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.9 MiB
2025-05-20T09:10:49.638639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length34
Median length29
Mean length19.4180494
Min length5

Characters and Unicode

Total characters4225853
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMadeira-Guaporé
2nd rowMadeira-Guaporé
3rd rowMadeira-Guaporé
4th rowMadeira-Guaporé
5th rowMadeira-Guaporé
ValueCountFrequency (%)
de 58785
 
10.2%
metropolitana 51189
 
8.9%
norte 23664
 
4.1%
do 23479
 
4.1%
centro 19480
 
3.4%
são 17963
 
3.1%
sul 17827
 
3.1%
paulo 15661
 
2.7%
baiano 14233
 
2.5%
maranhense 13635
 
2.4%
Other values (104) 319722
55.5%
2025-05-20T09:10:49.769426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 522793
12.4%
a 464984
11.0%
o 420911
10.0%
358013
 
8.5%
n 304240
 
7.2%
t 295023
 
7.0%
r 288372
 
6.8%
i 212510
 
5.0%
s 178294
 
4.2%
l 149165
 
3.5%
Other values (44) 1031548
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4225853
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 522793
12.4%
a 464984
11.0%
o 420911
10.0%
358013
 
8.5%
n 304240
 
7.2%
t 295023
 
7.0%
r 288372
 
6.8%
i 212510
 
5.0%
s 178294
 
4.2%
l 149165
 
3.5%
Other values (44) 1031548
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4225853
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 522793
12.4%
a 464984
11.0%
o 420911
10.0%
358013
 
8.5%
n 304240
 
7.2%
t 295023
 
7.0%
r 288372
 
6.8%
i 212510
 
5.0%
s 178294
 
4.2%
l 149165
 
3.5%
Other values (44) 1031548
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4225853
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 522793
12.4%
a 464984
11.0%
o 420911
10.0%
358013
 
8.5%
n 304240
 
7.2%
t 295023
 
7.0%
r 288372
 
6.8%
i 212510
 
5.0%
s 178294
 
4.2%
l 149165
 
3.5%
Other values (44) 1031548
24.4%

CO_MESORREGIAO
Real number (ℝ)

Distinct137
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3031.092333
Minimum1101
Maximum5301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:49.800598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1101
5-th percentile1501
Q12306
median3105
Q33515
95-th percentile5002
Maximum5301
Range4200
Interquartile range (IQR)1209

Descriptive statistics

Standard deviation944.7119558
Coefficient of variation (CV)0.3116737638
Kurtosis-0.1861854056
Mean3031.092333
Median Absolute Deviation (MAD)502
Skewness0.1796577984
Sum659641469
Variance892480.6794
MonotonicityNot monotonic
2025-05-20T09:10:49.834098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3515 15661
 
7.2%
3306 8876
 
4.1%
3107 5730
 
2.6%
2101 4903
 
2.3%
4305 4113
 
1.9%
2906 3985
 
1.8%
1504 3884
 
1.8%
2905 3602
 
1.7%
1303 3388
 
1.6%
2903 3361
 
1.5%
Other values (127) 160122
73.6%
ValueCountFrequency (%)
1101 608
0.3%
1102 808
0.4%
1201 754
0.3%
1202 904
0.4%
1301 562
0.3%
ValueCountFrequency (%)
5301 1319
0.6%
5205 1138
0.5%
5204 1062
0.5%
5203 2243
1.0%
5202 346
 
0.2%
Distinct554
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.1 MiB
2025-05-20T09:10:49.939355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length36
Median length28
Mean length11.2113452
Min length3

Characters and Unicode

Total characters2439869
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPorto Velho
2nd rowPorto Velho
3rd rowPorto Velho
4th rowPorto Velho
5th rowPorto Velho
ValueCountFrequency (%)
de 20264
 
5.3%
são 17655
 
4.6%
do 12820
 
3.4%
rio 10429
 
2.7%
paulo 10337
 
2.7%
janeiro 7774
 
2.0%
porto 4670
 
1.2%
da 4505
 
1.2%
alto 3929
 
1.0%
belo 3838
 
1.0%
Other values (595) 284273
74.7%
2025-05-20T09:10:50.076399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 344883
14.1%
o 217763
 
8.9%
r 172470
 
7.1%
e 165131
 
6.8%
i 163796
 
6.7%
162869
 
6.7%
n 119432
 
4.9%
t 90806
 
3.7%
u 89179
 
3.7%
s 84204
 
3.5%
Other values (55) 829336
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2439869
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 344883
14.1%
o 217763
 
8.9%
r 172470
 
7.1%
e 165131
 
6.8%
i 163796
 
6.7%
162869
 
6.7%
n 119432
 
4.9%
t 90806
 
3.7%
u 89179
 
3.7%
s 84204
 
3.5%
Other values (55) 829336
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2439869
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 344883
14.1%
o 217763
 
8.9%
r 172470
 
7.1%
e 165131
 
6.8%
i 163796
 
6.7%
162869
 
6.7%
n 119432
 
4.9%
t 90806
 
3.7%
u 89179
 
3.7%
s 84204
 
3.5%
Other values (55) 829336
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2439869
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 344883
14.1%
o 217763
 
8.9%
r 172470
 
7.1%
e 165131
 
6.8%
i 163796
 
6.7%
162869
 
6.7%
n 119432
 
4.9%
t 90806
 
3.7%
u 89179
 
3.7%
s 84204
 
3.5%
Other values (55) 829336
34.0%

CO_MICRORREGIAO
Real number (ℝ)

Distinct558
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30280.38332
Minimum11001
Maximum53001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.107540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11001
5-th percentile15002
Q123028
median31018
Q335058
95-th percentile50004
Maximum53001
Range42000
Interquartile range (IQR)12030

Descriptive statistics

Standard deviation9441.731543
Coefficient of variation (CV)0.3118101724
Kurtosis-0.1799682266
Mean30280.38332
Median Absolute Deviation (MAD)5010
Skewness0.1824907334
Sum6589768420
Variance89146294.53
MonotonicityNot monotonic
2025-05-20T09:10:50.140139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35061 10094
 
4.6%
33018 7774
 
3.6%
31030 3724
 
1.7%
26017 2855
 
1.3%
23016 2811
 
1.3%
43026 2661
 
1.2%
29021 2375
 
1.1%
41037 2259
 
1.0%
35032 2087
 
1.0%
21005 1613
 
0.7%
Other values (548) 179372
82.4%
ValueCountFrequency (%)
11001 501
0.2%
11002 107
 
< 0.1%
11003 138
 
0.1%
11004 245
0.1%
11005 61
 
< 0.1%
ValueCountFrequency (%)
53001 1319
0.6%
52018 95
 
< 0.1%
52017 145
 
0.1%
52016 101
 
< 0.1%
52015 317
 
0.1%

CO_DISTRITO
Real number (ℝ)

Distinct9393
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean304138732.9
Minimum110001505
Maximum530010805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.172359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum110001505
5-th percentile150050305
Q1231240305
median311860105
Q3354780905
95-th percentile500270405
Maximum530010805
Range420009300
Interquartile range (IQR)123540600

Descriptive statistics

Standard deviation94754981.12
Coefficient of variation (CV)0.3115518376
Kurtosis-0.209485317
Mean304138732.9
Median Absolute Deviation (MAD)51339900
Skewness0.1590667404
Sum6.618819175 × 1013
Variance8.978506447 × 1015
MonotonicityNot monotonic
2025-05-20T09:10:50.203836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330455705 4198
 
1.9%
230440005 1787
 
0.8%
292740805 1581
 
0.7%
310620005 1490
 
0.7%
530010805 1319
 
0.6%
261160605 1287
 
0.6%
410690205 1172
 
0.5%
130260305 1082
 
0.5%
431490205 989
 
0.5%
520870705 861
 
0.4%
Other values (9383) 201859
92.8%
ValueCountFrequency (%)
110001505 27
< 0.1%
110001515 1
 
< 0.1%
110001520 1
 
< 0.1%
110001525 1
 
< 0.1%
110001530 1
 
< 0.1%
ValueCountFrequency (%)
530010805 1319
0.6%
522230205 7
 
< 0.1%
522220305 7
 
< 0.1%
522205405 5
 
< 0.1%
522200510 1
 
< 0.1%
Distinct195246
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size18.3 MiB
2025-05-20T09:10:50.324346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length86
Mean length30.77754854
Min length4

Characters and Unicode

Total characters6697964
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186825 ?
Unique (%)85.8%

Sample

1st rowEEEE ABNAEL MACHADO DE LIMA - CENE
2nd rowEMEIEF PEQUENOS TALENTOS
3rd rowCENTRO DE ENSINO CLASSE A
4th rowCENTRO EDUCACIONAL PRESBITERIANO 15 DE NOVEMBRO
5th rowCENTRO EDUC CORA CORALINA
ValueCountFrequency (%)
de 64232
 
5.8%
escola 47738
 
4.3%
e 37354
 
3.4%
municipal 33458
 
3.0%
m 18856
 
1.7%
em 18041
 
1.6%
esc 16830
 
1.5%
centro 16288
 
1.5%
da 15513
 
1.4%
educacao 13250
 
1.2%
Other values (50391) 829331
74.7%
2025-05-20T09:10:50.480331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
893266
13.3%
A 743177
11.1%
E 739729
11.0%
O 538894
 
8.0%
I 507345
 
7.6%
C 373700
 
5.6%
R 364954
 
5.4%
S 359318
 
5.4%
N 357716
 
5.3%
L 297271
 
4.4%
Other values (30) 1522594
22.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6697964
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
893266
13.3%
A 743177
11.1%
E 739729
11.0%
O 538894
 
8.0%
I 507345
 
7.6%
C 373700
 
5.6%
R 364954
 
5.4%
S 359318
 
5.4%
N 357716
 
5.3%
L 297271
 
4.4%
Other values (30) 1522594
22.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6697964
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
893266
13.3%
A 743177
11.1%
E 739729
11.0%
O 538894
 
8.0%
I 507345
 
7.6%
C 373700
 
5.6%
R 364954
 
5.4%
S 359318
 
5.4%
N 357716
 
5.3%
L 297271
 
4.4%
Other values (30) 1522594
22.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6697964
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
893266
13.3%
A 743177
11.1%
E 739729
11.0%
O 538894
 
8.0%
I 507345
 
7.6%
C 373700
 
5.6%
R 364954
 
5.4%
S 359318
 
5.4%
N 357716
 
5.3%
L 297271
 
4.4%
Other values (30) 1522594
22.7%

CO_ENTIDADE
Real number (ℝ)

Unique 

Distinct217625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30427408.56
Minimum11000023
Maximum53086007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.513302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11000023
5-th percentile15016057.6
Q123273909
median31114812
Q335239100
95-th percentile50015441.4
Maximum53086007
Range42085984
Interquartile range (IQR)11965191

Descriptive statistics

Standard deviation9439539.047
Coefficient of variation (CV)0.310231449
Kurtosis-0.1959514017
Mean30427408.56
Median Absolute Deviation (MAD)5045232
Skewness0.1693554088
Sum6.621764787 × 1012
Variance8.910489742 × 1013
MonotonicityStrictly increasing
2025-05-20T09:10:50.547687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11000023 1
 
< 0.1%
35005436 1
 
< 0.1%
35005438 1
 
< 0.1%
35005440 1
 
< 0.1%
35005442 1
 
< 0.1%
35005443 1
 
< 0.1%
35005444 1
 
< 0.1%
35005446 1
 
< 0.1%
35005447 1
 
< 0.1%
35005448 1
 
< 0.1%
Other values (217615) 217615
> 99.9%
ValueCountFrequency (%)
11000023 1
< 0.1%
11000040 1
< 0.1%
11000058 1
< 0.1%
11000082 1
< 0.1%
11000104 1
< 0.1%
ValueCountFrequency (%)
53086007 1
< 0.1%
53085000 1
< 0.1%
53084055 1
< 0.1%
53084039 1
< 0.1%
53084020 1
< 0.1%

TP_DEPENDENCIA
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.081098219
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.571108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6346679823
Coefficient of variation (CV)0.2059875853
Kurtosis-0.2538499308
Mean3.081098219
Median Absolute Deviation (MAD)0
Skewness-0.1463883502
Sum670524
Variance0.4028034478
MonotonicityNot monotonic
2025-05-20T09:10:50.591549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 130709
60.1%
4 52645
24.2%
2 33546
 
15.4%
1 725
 
0.3%
ValueCountFrequency (%)
1 725
 
0.3%
2 33546
 
15.4%
3 130709
60.1%
4 52645
24.2%
ValueCountFrequency (%)
4 52645
24.2%
3 130709
60.1%
2 33546
 
15.4%
1 725
 
0.3%

TP_CATEGORIA_ESCOLA_PRIVADA
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean1.664098686
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.611386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.194214842
Coefficient of variation (CV)0.7176346285
Kurtosis-0.02541099714
Mean1.664098686
Median Absolute Deviation (MAD)0
Skewness1.364003235
Sum70418
Variance1.42614909
MonotonicityNot monotonic
2025-05-20T09:10:50.631367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 31319
 
14.4%
4 8349
 
3.8%
2 2241
 
1.0%
3 407
 
0.2%
(Missing) 175309
80.6%
ValueCountFrequency (%)
1 31319
14.4%
2 2241
 
1.0%
3 407
 
0.2%
4 8349
 
3.8%
ValueCountFrequency (%)
4 8349
 
3.8%
3 407
 
0.2%
2 2241
 
1.0%
1 31319
14.4%

TP_LOCALIZACAO
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.337566916
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.651209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4728810851
Coefficient of variation (CV)0.3535382638
Kurtosis-1.528045482
Mean1.337566916
Median Absolute Deviation (MAD)0
Skewness0.6869996807
Sum291088
Variance0.2236165206
MonotonicityNot monotonic
2025-05-20T09:10:50.672105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 144162
66.2%
2 73463
33.8%
ValueCountFrequency (%)
1 144162
66.2%
2 73463
33.8%
ValueCountFrequency (%)
2 73463
33.8%
1 144162
66.2%

TP_LOCALIZACAO_DIFERENCIADA
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.142401376
Minimum0
Maximum8
Zeros168720
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:50.691443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6975546227
Coefficient of variation (CV)4.898510409
Kurtosis70.5599273
Mean0.142401376
Median Absolute Deviation (MAD)0
Skewness7.482580541
Sum25665
Variance0.4865824517
MonotonicityNot monotonic
2025-05-20T09:10:50.713809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 168720
77.5%
1 4553
 
2.1%
2 3589
 
1.6%
3 2602
 
1.2%
8 766
 
0.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 168720
77.5%
1 4553
 
2.1%
2 3589
 
1.6%
3 2602
 
1.2%
8 766
 
0.4%
ValueCountFrequency (%)
8 766
 
0.4%
3 2602
 
1.2%
2 3589
 
1.6%
1 4553
 
2.1%
0 168720
77.5%
Distinct140232
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size15.9 MiB
2025-05-20T09:10:50.996291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length99
Median length86
Mean length19.44653877
Min length1

Characters and Unicode

Total characters4232053
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114477 ?
Unique (%)52.6%

Sample

1st rowAVENIDA AMAZONAS
2nd rowRUA CAETANO
3rd rowAVENIDA CARLOS GOMES
4th rowRUA ALMIRANTE BARROSO
5th rowRUA MEXICO
ValueCountFrequency (%)
rua 89675
 
12.6%
de 27126
 
3.8%
avenida 17075
 
2.4%
do 12510
 
1.8%
povoado 11673
 
1.6%
da 11176
 
1.6%
jose 8731
 
1.2%
sao 7459
 
1.0%
sitio 6788
 
1.0%
av 6508
 
0.9%
Other values (41239) 513108
72.1%
2025-05-20T09:10:51.129555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 635134
15.0%
494204
11.7%
O 385673
 
9.1%
R 361753
 
8.5%
E 313448
 
7.4%
I 279630
 
6.6%
N 201928
 
4.8%
D 200268
 
4.7%
S 196011
 
4.6%
U 185603
 
4.4%
Other values (33) 978401
23.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4232053
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 635134
15.0%
494204
11.7%
O 385673
 
9.1%
R 361753
 
8.5%
E 313448
 
7.4%
I 279630
 
6.6%
N 201928
 
4.8%
D 200268
 
4.7%
S 196011
 
4.6%
U 185603
 
4.4%
Other values (33) 978401
23.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4232053
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 635134
15.0%
494204
11.7%
O 385673
 
9.1%
R 361753
 
8.5%
E 313448
 
7.4%
I 279630
 
6.6%
N 201928
 
4.8%
D 200268
 
4.7%
S 196011
 
4.6%
U 185603
 
4.4%
Other values (33) 978401
23.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4232053
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 635134
15.0%
494204
11.7%
O 385673
 
9.1%
R 361753
 
8.5%
E 313448
 
7.4%
I 279630
 
6.6%
N 201928
 
4.8%
D 200268
 
4.7%
S 196011
 
4.6%
U 185603
 
4.4%
Other values (33) 978401
23.1%

NU_ENDERECO
Text

Missing 

Distinct7589
Distinct (%)4.4%
Missing44263
Missing (%)20.3%
Memory size11.3 MiB
2025-05-20T09:10:51.236250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10
Median length3
Mean length2.759762808
Min length1

Characters and Unicode

Total characters478438
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3782 ?
Unique (%)2.2%

Sample

1st row6492
2nd row3256
3rd row1135
4th row1483
5th row1056
ValueCountFrequency (%)
sn 27602
 
15.7%
s/n 23151
 
13.2%
0 6400
 
3.6%
s/nº 1918
 
1.1%
100 1121
 
0.6%
00 881
 
0.5%
50 692
 
0.4%
10 684
 
0.4%
01 676
 
0.4%
200 667
 
0.4%
Other values (6739) 111749
63.7%
2025-05-20T09:10:51.369708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57331
12.0%
N 53968
11.3%
S 53880
11.3%
0 52925
11.1%
2 38550
8.1%
5 36039
7.5%
3 32476
6.8%
4 27813
 
5.8%
/ 25600
 
5.4%
6 24234
 
5.1%
Other values (32) 75622
15.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 478438
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 57331
12.0%
N 53968
11.3%
S 53880
11.3%
0 52925
11.1%
2 38550
8.1%
5 36039
7.5%
3 32476
6.8%
4 27813
 
5.8%
/ 25600
 
5.4%
6 24234
 
5.1%
Other values (32) 75622
15.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 478438
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 57331
12.0%
N 53968
11.3%
S 53880
11.3%
0 52925
11.1%
2 38550
8.1%
5 36039
7.5%
3 32476
6.8%
4 27813
 
5.8%
/ 25600
 
5.4%
6 24234
 
5.1%
Other values (32) 75622
15.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 478438
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 57331
12.0%
N 53968
11.3%
S 53880
11.3%
0 52925
11.1%
2 38550
8.1%
5 36039
7.5%
3 32476
6.8%
4 27813
 
5.8%
/ 25600
 
5.4%
6 24234
 
5.1%
Other values (32) 75622
15.8%

DS_COMPLEMENTO
Text

Missing 

Distinct17215
Distinct (%)24.5%
Missing147301
Missing (%)67.7%
Memory size8.9 MiB
2025-05-20T09:10:51.477012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.359621182
Min length1

Characters and Unicode

Total characters587882
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14559 ?
Unique (%)20.7%

Sample

1st rowZONA LESTE
2nd rowPREDIO
3rd rowCONJ MARECHAL RONDON
4th rowESCOLA
5th rowDIST. DE SAO CARLOS
ValueCountFrequency (%)
rua 14807
 
12.7%
predio 10065
 
8.6%
avenida 3866
 
3.3%
casa 3838
 
3.3%
rural 3738
 
3.2%
escola 3491
 
3.0%
zona 3420
 
2.9%
escolar 2270
 
1.9%
rio 2136
 
1.8%
do 1381
 
1.2%
Other values (9307) 67971
58.1%
2025-05-20T09:10:51.625764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 91476
15.6%
R 61173
10.4%
O 51671
 
8.8%
46659
 
7.9%
E 43488
 
7.4%
I 37530
 
6.4%
D 29599
 
5.0%
U 28772
 
4.9%
S 22784
 
3.9%
C 22076
 
3.8%
Other values (33) 152654
26.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 587882
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 91476
15.6%
R 61173
10.4%
O 51671
 
8.8%
46659
 
7.9%
E 43488
 
7.4%
I 37530
 
6.4%
D 29599
 
5.0%
U 28772
 
4.9%
S 22784
 
3.9%
C 22076
 
3.8%
Other values (33) 152654
26.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 587882
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 91476
15.6%
R 61173
10.4%
O 51671
 
8.8%
46659
 
7.9%
E 43488
 
7.4%
I 37530
 
6.4%
D 29599
 
5.0%
U 28772
 
4.9%
S 22784
 
3.9%
C 22076
 
3.8%
Other values (33) 152654
26.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 587882
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 91476
15.6%
R 61173
10.4%
O 51671
 
8.8%
46659
 
7.9%
E 43488
 
7.4%
I 37530
 
6.4%
D 29599
 
5.0%
U 28772
 
4.9%
S 22784
 
3.9%
C 22076
 
3.8%
Other values (33) 152654
26.0%

NO_BAIRRO
Text

Missing 

Distinct33328
Distinct (%)17.9%
Missing31566
Missing (%)14.5%
Memory size13.1 MiB
2025-05-20T09:10:51.715782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length50
Median length46
Mean length11.27801396
Min length1

Characters and Unicode

Total characters2098376
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19247 ?
Unique (%)10.3%

Sample

1st rowTIRADENTES
2nd rowCALADINHO
3rd rowCENTRO
4th rowSANTA BARBARA
5th rowNOVA PORTO VELHO
ValueCountFrequency (%)
centro 33119
 
9.6%
rural 25116
 
7.3%
zona 21674
 
6.3%
jardim 13780
 
4.0%
vila 11001
 
3.2%
sao 7869
 
2.3%
de 6316
 
1.8%
santa 4639
 
1.3%
do 4483
 
1.3%
parque 4094
 
1.2%
Other values (14470) 214027
61.8%
2025-05-20T09:10:51.849207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 314935
15.0%
R 213506
10.2%
O 198892
 
9.5%
160059
 
7.6%
E 149571
 
7.1%
I 143733
 
6.8%
N 139809
 
6.7%
T 99996
 
4.8%
L 88659
 
4.2%
C 87977
 
4.2%
Other values (33) 501239
23.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2098376
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 314935
15.0%
R 213506
10.2%
O 198892
 
9.5%
160059
 
7.6%
E 149571
 
7.1%
I 143733
 
6.8%
N 139809
 
6.7%
T 99996
 
4.8%
L 88659
 
4.2%
C 87977
 
4.2%
Other values (33) 501239
23.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2098376
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 314935
15.0%
R 213506
10.2%
O 198892
 
9.5%
160059
 
7.6%
E 149571
 
7.1%
I 143733
 
6.8%
N 139809
 
6.7%
T 99996
 
4.8%
L 88659
 
4.2%
C 87977
 
4.2%
Other values (33) 501239
23.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2098376
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 314935
15.0%
R 213506
10.2%
O 198892
 
9.5%
160059
 
7.6%
E 149571
 
7.1%
I 143733
 
6.8%
N 139809
 
6.7%
T 99996
 
4.8%
L 88659
 
4.2%
C 87977
 
4.2%
Other values (33) 501239
23.9%

CO_CEP
Real number (ℝ)

Distinct77562
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51944199.53
Minimum1003001
Maximum99990000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:51.880414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1003001
5-th percentile8225526
Q133140100
median57180000
Q368800000
95-th percentile91110256
Maximum99990000
Range98986999
Interquartile range (IQR)35659900

Descriptive statistics

Standard deviation25352906.85
Coefficient of variation (CV)0.4880796523
Kurtosis-0.8750073901
Mean51944199.53
Median Absolute Deviation (MAD)18205176
Skewness-0.2041284025
Sum1.130435642 × 1013
Variance6.427698855 × 1014
MonotonicityNot monotonic
2025-05-20T09:10:51.914121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68800000 288
 
0.1%
65110000 268
 
0.1%
68480000 253
 
0.1%
65940000 253
 
0.1%
69750000 242
 
0.1%
65400000 239
 
0.1%
65950000 229
 
0.1%
68400000 221
 
0.1%
65609899 220
 
0.1%
68440000 211
 
0.1%
Other values (77552) 215201
98.9%
ValueCountFrequency (%)
1003001 2
< 0.1%
1017000 1
< 0.1%
1019000 1
< 0.1%
1020000 1
< 0.1%
1021000 1
< 0.1%
ValueCountFrequency (%)
99990000 9
< 0.1%
99980000 14
< 0.1%
99975000 2
 
< 0.1%
99970000 6
< 0.1%
99965000 5
 
< 0.1%

NU_DDD
Real number (ℝ)

Missing 

Distinct67
Distinct (%)< 0.1%
Missing28033
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean56.12453057
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:51.945448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q127
median62
Q383
95-th percentile98
Maximum99
Range88
Interquartile range (IQR)56

Descriptive statistics

Standard deviation29.3829829
Coefficient of variation (CV)0.5235319137
Kurtosis-1.422928825
Mean56.12453057
Median Absolute Deviation (MAD)25
Skewness-0.1742786057
Sum10640762
Variance863.3596839
MonotonicityNot monotonic
2025-05-20T09:10:51.979716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 15269
 
7.0%
21 8070
 
3.7%
98 6431
 
3.0%
81 6219
 
2.9%
88 5763
 
2.6%
75 5568
 
2.6%
91 5011
 
2.3%
83 4953
 
2.3%
51 4942
 
2.3%
31 4897
 
2.3%
Other values (57) 122469
56.3%
(Missing) 28033
 
12.9%
ValueCountFrequency (%)
11 15269
7.0%
12 2074
 
1.0%
13 1658
 
0.8%
14 2077
 
1.0%
15 1790
 
0.8%
ValueCountFrequency (%)
99 4314
2.0%
98 6431
3.0%
97 1842
 
0.8%
96 844
 
0.4%
95 763
 
0.4%

NU_TELEFONE
Real number (ℝ)

Missing 

Distinct147400
Distinct (%)82.7%
Missing39474
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean268358892.1
Minimum10000000
Maximum999999978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.012787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10000000
5-th percentile26735280
Q133301106.5
median36122879
Q399253481.5
95-th percentile998127896
Maximum999999978
Range989999978
Interquartile range (IQR)65952375

Descriptive statistics

Standard deviation408775100.4
Coefficient of variation (CV)1.523240378
Kurtosis-0.5559505652
Mean268358892.1
Median Absolute Deviation (MAD)3560617
Skewness1.199870011
Sum4.780840499 × 1013
Variance1.670970827 × 1017
MonotonicityNot monotonic
2025-05-20T09:10:52.047245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34711342 203
 
0.1%
35363694 124
 
0.1%
32201010 119
 
0.1%
35213125 95
 
< 0.1%
984386470 94
 
< 0.1%
35332616 88
 
< 0.1%
34634002 86
 
< 0.1%
33331195 84
 
< 0.1%
34411343 81
 
< 0.1%
32032127 75
 
< 0.1%
Other values (147390) 177102
81.4%
(Missing) 39474
 
18.1%
ValueCountFrequency (%)
10000000 2
 
< 0.1%
11350570 1
 
< 0.1%
12345678 16
< 0.1%
12345698 1
 
< 0.1%
13711395 1
 
< 0.1%
ValueCountFrequency (%)
999999978 1
< 0.1%
999999969 2
< 0.1%
999999858 1
< 0.1%
999999738 1
< 0.1%
999999400 1
< 0.1%

TP_SITUACAO_FUNCIONAMENTO
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.196241241
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.071492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4544771567
Coefficient of variation (CV)0.3799209902
Kurtosis4.527578862
Mean1.196241241
Median Absolute Deviation (MAD)0
Skewness2.274805031
Sum260332
Variance0.206549486
MonotonicityNot monotonic
2025-05-20T09:10:52.093313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 180230
82.8%
2 32083
 
14.7%
3 5312
 
2.4%
ValueCountFrequency (%)
1 180230
82.8%
2 32083
 
14.7%
3 5312
 
2.4%
ValueCountFrequency (%)
3 5312
 
2.4%
2 32083
 
14.7%
1 180230
82.8%

CO_ORGAO_REGIONAL
Unsupported

Missing  Rejected  Unsupported 

Missing6176
Missing (%)2.8%
Memory size7.7 MiB

DT_ANO_LETIVO_INICIO
Text

Missing 

Distinct222
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Memory size13.7 MiB
2025-05-20T09:10:52.203121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters2883680
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)< 0.1%

Sample

1st row06FEB23:00:00:00
2nd row08FEB23:00:00:00
3rd row06FEB23:00:00:00
4th row07FEB23:00:00:00
5th row30JAN23:00:00:00
ValueCountFrequency (%)
06feb23:00:00:00 55893
31.0%
03feb23:00:00:00 23889
13.3%
01feb23:00:00:00 12826
 
7.1%
13feb23:00:00:00 12771
 
7.1%
23feb23:00:00:00 7584
 
4.2%
30jan23:00:00:00 7432
 
4.1%
27feb23:00:00:00 6690
 
3.7%
02feb23:00:00:00 5830
 
3.2%
07feb23:00:00:00 4416
 
2.5%
06mar23:00:00:00 4399
 
2.4%
Other values (212) 38500
21.4%
2025-05-20T09:10:52.338548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1212533
42.0%
: 540690
18.8%
3 238203
 
8.3%
2 213886
 
7.4%
E 142502
 
4.9%
F 142480
 
4.9%
B 142480
 
4.9%
6 63992
 
2.2%
1 44758
 
1.6%
A 37595
 
1.3%
Other values (20) 104561
 
3.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2883680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1212533
42.0%
: 540690
18.8%
3 238203
 
8.3%
2 213886
 
7.4%
E 142502
 
4.9%
F 142480
 
4.9%
B 142480
 
4.9%
6 63992
 
2.2%
1 44758
 
1.6%
A 37595
 
1.3%
Other values (20) 104561
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2883680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1212533
42.0%
: 540690
18.8%
3 238203
 
8.3%
2 213886
 
7.4%
E 142502
 
4.9%
F 142480
 
4.9%
B 142480
 
4.9%
6 63992
 
2.2%
1 44758
 
1.6%
A 37595
 
1.3%
Other values (20) 104561
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2883680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1212533
42.0%
: 540690
18.8%
3 238203
 
8.3%
2 213886
 
7.4%
E 142502
 
4.9%
F 142480
 
4.9%
B 142480
 
4.9%
6 63992
 
2.2%
1 44758
 
1.6%
A 37595
 
1.3%
Other values (20) 104561
 
3.6%

DT_ANO_LETIVO_TERMINO
Text

Missing 

Distinct231
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Memory size13.7 MiB
2025-05-20T09:10:52.442180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters2883680
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)< 0.1%

Sample

1st row12DEC23:00:00:00
2nd row20DEC23:00:00:00
3rd row15DEC23:00:00:00
4th row15DEC23:00:00:00
5th row14DEC23:00:00:00
ValueCountFrequency (%)
15dec23:00:00:00 46278
25.7%
22dec23:00:00:00 32666
18.1%
20dec23:00:00:00 26544
14.7%
21dec23:00:00:00 17415
 
9.7%
29dec23:00:00:00 9427
 
5.2%
19dec23:00:00:00 7312
 
4.1%
18dec23:00:00:00 6478
 
3.6%
14dec23:00:00:00 4115
 
2.3%
08dec23:00:00:00 2762
 
1.5%
13dec23:00:00:00 2232
 
1.2%
Other values (221) 25001
13.9%
2025-05-20T09:10:52.569724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1119339
38.8%
: 540690
18.8%
2 308936
 
10.7%
3 182267
 
6.3%
E 172678
 
6.0%
C 172146
 
6.0%
D 171973
 
6.0%
1 95283
 
3.3%
5 48184
 
1.7%
9 18403
 
0.6%
Other values (20) 53781
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2883680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1119339
38.8%
: 540690
18.8%
2 308936
 
10.7%
3 182267
 
6.3%
E 172678
 
6.0%
C 172146
 
6.0%
D 171973
 
6.0%
1 95283
 
3.3%
5 48184
 
1.7%
9 18403
 
0.6%
Other values (20) 53781
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2883680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1119339
38.8%
: 540690
18.8%
2 308936
 
10.7%
3 182267
 
6.3%
E 172678
 
6.0%
C 172146
 
6.0%
D 171973
 
6.0%
1 95283
 
3.3%
5 48184
 
1.7%
9 18403
 
0.6%
Other values (20) 53781
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2883680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1119339
38.8%
: 540690
18.8%
2 308936
 
10.7%
3 182267
 
6.3%
E 172678
 
6.0%
C 172146
 
6.0%
D 171973
 
6.0%
1 95283
 
3.3%
5 48184
 
1.7%
9 18403
 
0.6%
Other values (20) 53781
 
1.9%

IN_VINCULO_SECRETARIA_EDUCACAO
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing79711
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean0.9972881651
Minimum0
Maximum1
Zeros374
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.592624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05200481202
Coefficient of variation (CV)0.05214622397
Kurtosis363.7699616
Mean0.9972881651
Median Absolute Deviation (MAD)0
Skewness-19.12497546
Sum137540
Variance0.002704500473
MonotonicityNot monotonic
2025-05-20T09:10:52.613339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 137540
63.2%
0 374
 
0.2%
(Missing) 79711
36.6%
ValueCountFrequency (%)
0 374
 
0.2%
1 137540
63.2%
ValueCountFrequency (%)
1 137540
63.2%
0 374
 
0.2%

IN_VINCULO_SEGURANCA_PUBLICA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing79711
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean0.001667705962
Minimum0
Maximum1
Zeros137684
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.632639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04080363698
Coefficient of variation (CV)24.46692518
Kurtosis594.6493594
Mean0.001667705962
Median Absolute Deviation (MAD)0
Skewness24.42623049
Sum230
Variance0.001664936791
MonotonicityNot monotonic
2025-05-20T09:10:52.658160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 137684
63.3%
1 230
 
0.1%
(Missing) 79711
36.6%
ValueCountFrequency (%)
0 137684
63.3%
1 230
 
0.1%
ValueCountFrequency (%)
1 230
 
0.1%
0 137684
63.3%

IN_VINCULO_SECRETARIA_SAUDE
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing79711
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean0.0001450179097
Minimum0
Maximum1
Zeros137894
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.678894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01204150866
Coefficient of variation (CV)83.03463129
Kurtosis6890.950014
Mean0.0001450179097
Median Absolute Deviation (MAD)0
Skewness83.02319003
Sum20
Variance0.0001449979309
MonotonicityNot monotonic
2025-05-20T09:10:52.700010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 137894
63.4%
1 20
 
< 0.1%
(Missing) 79711
36.6%
ValueCountFrequency (%)
0 137894
63.4%
1 20
 
< 0.1%
ValueCountFrequency (%)
1 20
 
< 0.1%
0 137894
63.4%

IN_VINCULO_OUTRO_ORGAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing79711
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean0.002827849239
Minimum0
Maximum1
Zeros137524
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.719411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05310247597
Coefficient of variation (CV)18.77839711
Kurtosis348.6411601
Mean0.002827849239
Median Absolute Deviation (MAD)0
Skewness18.72527982
Sum390
Variance0.002819872955
MonotonicityNot monotonic
2025-05-20T09:10:52.740090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 137524
63.2%
1 390
 
0.2%
(Missing) 79711
36.6%
ValueCountFrequency (%)
0 137524
63.2%
1 390
 
0.2%
ValueCountFrequency (%)
1 390
 
0.2%
0 137524
63.2%

IN_PODER_PUBLICO_PARCERIA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.05408089663
Minimum0
Maximum1
Zeros170483
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.759227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2261778882
Coefficient of variation (CV)4.182214095
Kurtosis13.5483997
Mean0.05408089663
Median Absolute Deviation (MAD)0
Skewness3.943126849
Sum9747
Variance0.05115643709
MonotonicityNot monotonic
2025-05-20T09:10:52.780196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 170483
78.3%
1 9747
 
4.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 170483
78.3%
1 9747
 
4.5%
ValueCountFrequency (%)
1 9747
 
4.5%
0 170483
78.3%

TP_PODER_PUBLICO_PARCERIA
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean1.263568277
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.799621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5997719225
Coefficient of variation (CV)0.4746652264
Kurtosis3.073551644
Mean1.263568277
Median Absolute Deviation (MAD)0
Skewness2.12167595
Sum12316
Variance0.3597263591
MonotonicityNot monotonic
2025-05-20T09:10:52.820342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 7985
 
3.7%
2 955
 
0.4%
3 807
 
0.4%
(Missing) 207878
95.5%
ValueCountFrequency (%)
1 7985
3.7%
2 955
 
0.4%
3 807
 
0.4%
ValueCountFrequency (%)
3 807
 
0.4%
2 955
 
0.4%
1 7985
3.7%

IN_FORMA_CONT_TERMO_COLABORA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.6870832051
Minimum0
Maximum1
Zeros3050
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.840446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.463704577
Coefficient of variation (CV)0.6748885339
Kurtosis-1.348910843
Mean0.6870832051
Median Absolute Deviation (MAD)0
Skewness-0.8070724773
Sum6697
Variance0.2150219347
MonotonicityNot monotonic
2025-05-20T09:10:52.860793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 6697
 
3.1%
0 3050
 
1.4%
(Missing) 207878
95.5%
ValueCountFrequency (%)
0 3050
1.4%
1 6697
3.1%
ValueCountFrequency (%)
1 6697
3.1%
0 3050
1.4%

IN_FORMA_CONT_TERMO_FOMENTO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.08330768442
Minimum0
Maximum1
Zeros8935
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.881666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2763609052
Coefficient of variation (CV)3.3173519
Kurtosis7.098829683
Mean0.08330768442
Median Absolute Deviation (MAD)0
Skewness3.016185191
Sum812
Variance0.07637534991
MonotonicityNot monotonic
2025-05-20T09:10:52.900550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8935
 
4.1%
1 812
 
0.4%
(Missing) 207878
95.5%
ValueCountFrequency (%)
0 8935
4.1%
1 812
 
0.4%
ValueCountFrequency (%)
1 812
 
0.4%
0 8935
4.1%

IN_FORMA_CONT_ACORDO_COOP
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.06135221094
Minimum0
Maximum1
Zeros9149
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.919434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2399875539
Coefficient of variation (CV)3.911636602
Kurtosis11.37114126
Mean0.06135221094
Median Absolute Deviation (MAD)0
Skewness3.656338065
Sum598
Variance0.05759402605
MonotonicityNot monotonic
2025-05-20T09:10:52.938020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9149
 
4.2%
1 598
 
0.3%
(Missing) 207878
95.5%
ValueCountFrequency (%)
0 9149
4.2%
1 598
 
0.3%
ValueCountFrequency (%)
1 598
 
0.3%
0 9149
4.2%

IN_FORMA_CONT_PRESTACAO_SERV
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.1556376321
Minimum0
Maximum1
Zeros8230
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.957228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3625300588
Coefficient of variation (CV)2.329321347
Kurtosis1.610948691
Mean0.1556376321
Median Absolute Deviation (MAD)0
Skewness1.900162672
Sum1517
Variance0.1314280435
MonotonicityNot monotonic
2025-05-20T09:10:52.976267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8230
 
3.8%
1 1517
 
0.7%
(Missing) 207878
95.5%
ValueCountFrequency (%)
0 8230
3.8%
1 1517
 
0.7%
ValueCountFrequency (%)
1 1517
 
0.7%
0 8230
3.8%

IN_FORMA_CONT_COOP_TEC_FIN
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.045142095
Minimum0
Maximum1
Zeros9307
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:52.994852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2076263688
Coefficient of variation (CV)4.599395947
Kurtosis17.20899105
Mean0.045142095
Median Absolute Deviation (MAD)0
Skewness4.382403446
Sum440
Variance0.04310870903
MonotonicityNot monotonic
2025-05-20T09:10:53.015224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9307
 
4.3%
1 440
 
0.2%
(Missing) 207878
95.5%
ValueCountFrequency (%)
0 9307
4.3%
1 440
 
0.2%
ValueCountFrequency (%)
1 440
 
0.2%
0 9307
4.3%

IN_FORMA_CONT_CONSORCIO_PUB
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing207878
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean0.0253411306
Minimum0
Maximum1
Zeros9500
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.034059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.157167083
Coefficient of variation (CV)6.20205489
Kurtosis34.50585219
Mean0.0253411306
Median Absolute Deviation (MAD)0
Skewness6.04142135
Sum247
Variance0.02470149197
MonotonicityNot monotonic
2025-05-20T09:10:53.054244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9500
 
4.4%
1 247
 
0.1%
(Missing) 207878
95.5%
ValueCountFrequency (%)
0 9500
4.4%
1 247
 
0.1%
ValueCountFrequency (%)
1 247
 
0.1%
0 9500
4.4%

IN_FORMA_CONT_MU_TERMO_COLAB
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing208833
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean0.6977934486
Minimum0
Maximum1
Zeros2657
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.072984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4592403941
Coefficient of variation (CV)0.6581322812
Kurtosis-1.257948977
Mean0.6977934486
Median Absolute Deviation (MAD)0
Skewness-0.8615899442
Sum6135
Variance0.2109017396
MonotonicityNot monotonic
2025-05-20T09:10:53.093996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 6135
 
2.8%
0 2657
 
1.2%
(Missing) 208833
96.0%
ValueCountFrequency (%)
0 2657
1.2%
1 6135
2.8%
ValueCountFrequency (%)
1 6135
2.8%
0 2657
1.2%

IN_FORMA_CONT_MU_TERMO_FOMENTO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing208833
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean0.08371246588
Minimum0
Maximum1
Zeros8056
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.113530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2769718655
Coefficient of variation (CV)3.308609568
Kurtosis7.04169898
Mean0.08371246588
Median Absolute Deviation (MAD)0
Skewness3.006675438
Sum736
Variance0.0767134143
MonotonicityNot monotonic
2025-05-20T09:10:53.132436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8056
 
3.7%
1 736
 
0.3%
(Missing) 208833
96.0%
ValueCountFrequency (%)
0 8056
3.7%
1 736
 
0.3%
ValueCountFrequency (%)
1 736
 
0.3%
0 8056
3.7%

IN_FORMA_CONT_MU_ACORDO_COOP
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing208833
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean0.03696542311
Minimum0
Maximum1
Zeros8467
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.151742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1886876522
Coefficient of variation (CV)5.104436425
Kurtosis22.10394285
Mean0.03696542311
Median Absolute Deviation (MAD)0
Skewness4.909064545
Sum325
Variance0.03560303009
MonotonicityNot monotonic
2025-05-20T09:10:53.170459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8467
 
3.9%
1 325
 
0.1%
(Missing) 208833
96.0%
ValueCountFrequency (%)
0 8467
3.9%
1 325
 
0.1%
ValueCountFrequency (%)
1 325
 
0.1%
0 8467
3.9%

IN_FORMA_CONT_MU_PREST_SERV
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing208833
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean0.1303457689
Minimum0
Maximum1
Zeros7646
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.189928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3367026046
Coefficient of variation (CV)2.583149476
Kurtosis2.824072712
Mean0.1303457689
Median Absolute Deviation (MAD)0
Skewness2.196230941
Sum1146
Variance0.1133686439
MonotonicityNot monotonic
2025-05-20T09:10:53.208630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 7646
 
3.5%
1 1146
 
0.5%
(Missing) 208833
96.0%
ValueCountFrequency (%)
0 7646
3.5%
1 1146
 
0.5%
ValueCountFrequency (%)
1 1146
 
0.5%
0 7646
3.5%

IN_FORMA_CONT_MU_COOP_TEC_FIN
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing208833
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean0.04822565969
Minimum0
Maximum1
Zeros8368
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.226633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2142549105
Coefficient of variation (CV)4.442757484
Kurtosis15.79618247
Mean0.04822565969
Median Absolute Deviation (MAD)0
Skewness4.218126269
Sum424
Variance0.04590516668
MonotonicityNot monotonic
2025-05-20T09:10:53.246725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8368
 
3.8%
1 424
 
0.2%
(Missing) 208833
96.0%
ValueCountFrequency (%)
0 8368
3.8%
1 424
 
0.2%
ValueCountFrequency (%)
1 424
 
0.2%
0 8368
3.8%

IN_FORMA_CONT_MU_CONSORCIO_PUB
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing208833
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean0.0279799818
Minimum0
Maximum1
Zeros8546
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.264443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1649248197
Coefficient of variation (CV)5.89438624
Kurtosis30.78681079
Mean0.0279799818
Median Absolute Deviation (MAD)0
Skewness5.72536527
Sum246
Variance0.02720019616
MonotonicityNot monotonic
2025-05-20T09:10:53.283792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 8546
 
3.9%
1 246
 
0.1%
(Missing) 208833
96.0%
ValueCountFrequency (%)
0 8546
3.9%
1 246
 
0.1%
ValueCountFrequency (%)
1 246
 
0.1%
0 8546
3.9%

IN_FORMA_CONT_ES_TERMO_COLAB
Real number (ℝ)

Missing 

Distinct2
Distinct (%)0.1%
Missing215863
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean0.5805902384
Minimum0
Maximum1
Zeros739
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.302197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4936025629
Coefficient of variation (CV)0.8501737203
Kurtosis-1.895282398
Mean0.5805902384
Median Absolute Deviation (MAD)0
Skewness-0.3269100456
Sum1023
Variance0.2436434901
MonotonicityNot monotonic
2025-05-20T09:10:53.321448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1023
 
0.5%
0 739
 
0.3%
(Missing) 215863
99.2%
ValueCountFrequency (%)
0 739
0.3%
1 1023
0.5%
ValueCountFrequency (%)
1 1023
0.5%
0 739
0.3%

IN_FORMA_CONT_ES_TERMO_FOMENTO
Real number (ℝ)

Missing 

Distinct2
Distinct (%)0.1%
Missing215863
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean0.09307604994
Minimum0
Maximum1
Zeros1598
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.340031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2906214609
Coefficient of variation (CV)3.122408622
Kurtosis5.866568262
Mean0.09307604994
Median Absolute Deviation (MAD)0
Skewness2.803553202
Sum164
Variance0.08446083351
MonotonicityNot monotonic
2025-05-20T09:10:53.359764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1598
 
0.7%
1 164
 
0.1%
(Missing) 215863
99.2%
ValueCountFrequency (%)
0 1598
0.7%
1 164
 
0.1%
ValueCountFrequency (%)
1 164
 
0.1%
0 1598
0.7%

IN_FORMA_CONT_ES_ACORDO_COOP
Real number (ℝ)

Missing 

Distinct2
Distinct (%)0.1%
Missing215863
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean0.1810442679
Minimum0
Maximum1
Zeros1443
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.379016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3851641674
Coefficient of variation (CV)2.127458505
Kurtosis0.750108363
Mean0.1810442679
Median Absolute Deviation (MAD)0
Skewness1.658088726
Sum319
Variance0.1483514359
MonotonicityNot monotonic
2025-05-20T09:10:53.398878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1443
 
0.7%
1 319
 
0.1%
(Missing) 215863
99.2%
ValueCountFrequency (%)
0 1443
0.7%
1 319
 
0.1%
ValueCountFrequency (%)
1 319
 
0.1%
0 1443
0.7%

IN_FORMA_CONT_ES_PREST_SERV
Real number (ℝ)

Missing 

Distinct2
Distinct (%)0.1%
Missing215863
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean0.2162315551
Minimum0
Maximum1
Zeros1381
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.418451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4117908545
Coefficient of variation (CV)1.9043976
Kurtosis-0.09631083847
Mean0.2162315551
Median Absolute Deviation (MAD)0
Skewness1.379782508
Sum381
Variance0.1695717079
MonotonicityNot monotonic
2025-05-20T09:10:53.437861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1381
 
0.6%
1 381
 
0.2%
(Missing) 215863
99.2%
ValueCountFrequency (%)
0 1381
0.6%
1 381
 
0.2%
ValueCountFrequency (%)
1 381
 
0.2%
0 1381
0.6%

IN_FORMA_CONT_ES_COOP_TEC_FIN
Real number (ℝ)

Missing 

Distinct2
Distinct (%)0.1%
Missing215863
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean0.009080590238
Minimum0
Maximum1
Zeros1746
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.457314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09488541928
Coefficient of variation (CV)10.4492568
Kurtosis105.4365251
Mean0.009080590238
Median Absolute Deviation (MAD)0
Skewness10.35938454
Sum16
Variance0.009003242792
MonotonicityNot monotonic
2025-05-20T09:10:53.476939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1746
 
0.8%
1 16
 
< 0.1%
(Missing) 215863
99.2%
ValueCountFrequency (%)
0 1746
0.8%
1 16
 
< 0.1%
ValueCountFrequency (%)
1 16
 
< 0.1%
0 1746
0.8%

IN_FORMA_CONT_ES_CONSORCIO_PUB
Real number (ℝ)

Missing  Skewed 

Distinct2
Distinct (%)0.1%
Missing215863
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean0.0005675368899
Minimum0
Maximum1
Zeros1761
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.497075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02382303276
Coefficient of variation (CV)41.97618372
Kurtosis1762
Mean0.0005675368899
Median Absolute Deviation (MAD)0
Skewness41.97618372
Sum1
Variance0.0005675368899
MonotonicityNot monotonic
2025-05-20T09:10:53.517666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1761
 
0.8%
1 1
 
< 0.1%
(Missing) 215863
99.2%
ValueCountFrequency (%)
0 1761
0.8%
1 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0 1761
0.8%

IN_MANT_ESCOLA_PRIVADA_EMP
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.6905189526
Minimum0
Maximum1
Zeros13096
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.536880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4622851706
Coefficient of variation (CV)0.6694749924
Kurtosis-1.320612437
Mean0.6905189526
Median Absolute Deviation (MAD)0
Skewness-0.82428756
Sum29220
Variance0.213707579
MonotonicityNot monotonic
2025-05-20T09:10:53.557638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 29220
 
13.4%
0 13096
 
6.0%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 13096
6.0%
1 29220
13.4%
ValueCountFrequency (%)
1 29220
13.4%
0 13096
6.0%

IN_MANT_ESCOLA_PRIVADA_ONG
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.01020890443
Minimum0
Maximum1
Zeros41884
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.576807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1005232386
Coefficient of variation (CV)9.84662353
Kurtosis92.97514514
Mean0.01020890443
Median Absolute Deviation (MAD)0
Skewness9.745293778
Sum432
Variance0.0101049215
MonotonicityNot monotonic
2025-05-20T09:10:53.596527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 41884
 
19.2%
1 432
 
0.2%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 41884
19.2%
1 432
 
0.2%
ValueCountFrequency (%)
1 432
 
0.2%
0 41884
19.2%

IN_MANT_ESCOLA_PRIVADA_OSCIP
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.008980054826
Minimum0
Maximum1
Zeros41936
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.615028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0943378172
Coefficient of variation (CV)10.50526072
Kurtosis106.3796672
Mean0.008980054826
Median Absolute Deviation (MAD)0
Skewness10.41031408
Sum380
Variance0.008899623754
MonotonicityNot monotonic
2025-05-20T09:10:53.634449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 41936
 
19.3%
1 380
 
0.2%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 41936
19.3%
1 380
 
0.2%
ValueCountFrequency (%)
1 380
 
0.2%
0 41936
19.3%

IN_MANT_ESCOLA_PRIV_ONG_OSCIP
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.01836184895
Minimum0
Maximum1
Zeros41539
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.653293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1342576531
Coefficient of variation (CV)7.311772005
Kurtosis49.4854405
Mean0.01836184895
Median Absolute Deviation (MAD)0
Skewness7.175172587
Sum777
Variance0.01802511741
MonotonicityNot monotonic
2025-05-20T09:10:53.672743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 41539
 
19.1%
1 777
 
0.4%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 41539
19.1%
1 777
 
0.4%
ValueCountFrequency (%)
1 777
 
0.4%
0 41539
19.1%

IN_MANT_ESCOLA_PRIVADA_SIND
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.02743643066
Minimum0
Maximum1
Zeros41155
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.691378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1633533089
Coefficient of variation (CV)5.953883394
Kurtosis31.47996147
Mean0.02743643066
Median Absolute Deviation (MAD)0
Skewness5.786058556
Sum1161
Variance0.02668430353
MonotonicityNot monotonic
2025-05-20T09:10:53.711041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 41155
 
18.9%
1 1161
 
0.5%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 41155
18.9%
1 1161
 
0.5%
ValueCountFrequency (%)
1 1161
 
0.5%
0 41155
18.9%

IN_MANT_ESCOLA_PRIVADA_SIST_S
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.03159561395
Minimum0
Maximum1
Zeros40979
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.731037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1749229951
Coefficient of variation (CV)5.536306253
Kurtosis26.68588392
Mean0.03159561395
Median Absolute Deviation (MAD)0
Skewness5.355802709
Sum1337
Variance0.03059805422
MonotonicityNot monotonic
2025-05-20T09:10:53.750210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 40979
 
18.8%
1 1337
 
0.6%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 40979
18.8%
1 1337
 
0.6%
ValueCountFrequency (%)
1 1337
 
0.6%
0 40979
18.8%

IN_MANT_ESCOLA_PRIVADA_S_FINS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean0.2786652803
Minimum0
Maximum1
Zeros30524
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.769577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4483477358
Coefficient of variation (CV)1.608911363
Kurtosis-1.025125775
Mean0.2786652803
Median Absolute Deviation (MAD)0
Skewness0.9873817289
Sum11792
Variance0.2010156922
MonotonicityNot monotonic
2025-05-20T09:10:53.789920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 30524
 
14.0%
1 11792
 
5.4%
(Missing) 175309
80.6%
ValueCountFrequency (%)
0 30524
14.0%
1 11792
 
5.4%
ValueCountFrequency (%)
1 11792
 
5.4%
0 30524
14.0%

NU_CNPJ_ESCOLA_PRIVADA
Real number (ℝ)

Missing 

Distinct34030
Distinct (%)80.4%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean3.546413432 × 1013
Minimum123358
Maximum1 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:53.963398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum123358
5-th percentile1.57365075 × 1012
Q16.222242 × 1012
median2.0729253 × 1013
Q36.070152101 × 1013
95-th percentile1 × 1014
Maximum1 × 1014
Range9.999999988 × 1013
Interquartile range (IQR)5.447927901 × 1013

Descriptive statistics

Standard deviation3.563541071 × 1013
Coefficient of variation (CV)1.004829566
Kurtosis-0.7712766195
Mean3.546413432 × 1013
Median Absolute Deviation (MAD)1.6539235 × 1013
Skewness0.885715048
Sum1.500700308 × 1018
Variance1.269882496 × 1027
MonotonicityNot monotonic
2025-05-20T09:10:53.997596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 × 10146868
 
3.2%
6.4033061 × 101327
 
< 0.1%
5.5050546 × 101319
 
< 0.1%
6.091579 × 101318
 
< 0.1%
2.080755 × 101214
 
< 0.1%
5.7522468 × 101313
 
< 0.1%
6.169956701 × 101313
 
< 0.1%
6.2264494 × 101312
 
< 0.1%
7.561536 × 101211
 
< 0.1%
6.2915459 × 101311
 
< 0.1%
Other values (34020) 35310
 
16.2%
(Missing) 175309
80.6%
ValueCountFrequency (%)
123358 1
< 0.1%
138000190 1
< 0.1%
138000433 1
< 0.1%
144000148 2
< 0.1%
240000196 1
< 0.1%
ValueCountFrequency (%)
1 × 10146868
3.2%
9.8759046 × 10131
 
< 0.1%
9.8675598 × 10131
 
< 0.1%
9.8675093 × 10131
 
< 0.1%
9.8595648 × 10131
 
< 0.1%

NU_CNPJ_MANTENEDORA
Real number (ℝ)

Missing 

Distinct31040
Distinct (%)73.4%
Missing175309
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean3.528848581 × 1013
Minimum138000190
Maximum1 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.029725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum138000190
5-th percentile1.56635675 × 1012
Q16.1648165 × 1012
median2.0664513 × 1013
Q35.96208685 × 1013
95-th percentile1 × 1014
Maximum1 × 1014
Range9.9999862 × 1013
Interquartile range (IQR)5.3456052 × 1013

Descriptive statistics

Standard deviation3.531378042 × 1013
Coefficient of variation (CV)1.000716795
Kurtosis-0.7504904002
Mean3.528848581 × 1013
Median Absolute Deviation (MAD)1.66248615 × 1013
Skewness0.8834499867
Sum1.493267565 × 1018
Variance1.247063088 × 1027
MonotonicityNot monotonic
2025-05-20T09:10:54.062993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 × 10146530
 
3.0%
3.779133 × 1012100
 
< 0.1%
1.6444473 × 101380
 
< 0.1%
3.3621384 × 101360
 
< 0.1%
3.7737 × 101257
 
< 0.1%
3.774688 × 101244
 
< 0.1%
4.3586122 × 101340
 
< 0.1%
6.0701521 × 101339
 
< 0.1%
7.5565572 × 101338
 
< 0.1%
3.777341 × 101238
 
< 0.1%
Other values (31030) 35290
 
16.2%
(Missing) 175309
80.6%
ValueCountFrequency (%)
138000190 1
< 0.1%
138000433 1
< 0.1%
144000148 2
< 0.1%
240000196 1
< 0.1%
907000150 1
< 0.1%
ValueCountFrequency (%)
1 × 10146530
3.0%
9.9999998 × 10133
 
< 0.1%
9.8759046 × 10131
 
< 0.1%
9.8675598 × 10131
 
< 0.1%
9.8675093 × 10131
 
< 0.1%

TP_REGULAMENTACAO
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean1.057387782
Minimum0
Maximum2
Zeros4522
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.086984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3229169064
Coefficient of variation (CV)0.3053911836
Kurtosis5.874078074
Mean1.057387782
Median Absolute Deviation (MAD)0
Skewness1.165562977
Sum190573
Variance0.1042753284
MonotonicityNot monotonic
2025-05-20T09:10:54.108177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 160843
73.9%
2 14865
 
6.8%
0 4522
 
2.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 4522
 
2.1%
1 160843
73.9%
2 14865
 
6.8%
ValueCountFrequency (%)
2 14865
 
6.8%
1 160843
73.9%
0 4522
 
2.1%

TP_RESPONSAVEL_REGULAMENTACAO
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing41917
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean2.630295718
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.128490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.565664145
Coefficient of variation (CV)0.2150572428
Kurtosis-0.2593491201
Mean2.630295718
Median Absolute Deviation (MAD)0
Skewness0.01016802577
Sum462164
Variance0.3199759249
MonotonicityNot monotonic
2025-05-20T09:10:54.149452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 99964
45.9%
2 68611
31.5%
4 5635
 
2.6%
1 1245
 
0.6%
5 253
 
0.1%
(Missing) 41917
19.3%
ValueCountFrequency (%)
1 1245
 
0.6%
2 68611
31.5%
3 99964
45.9%
4 5635
 
2.6%
5 253
 
0.1%
ValueCountFrequency (%)
5 253
 
0.1%
4 5635
 
2.6%
3 99964
45.9%
2 68611
31.5%
1 1245
 
0.6%

CO_ESCOLA_SEDE_VINCULADA
Real number (ℝ)

Missing 

Distinct1016
Distinct (%)33.1%
Missing214556
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean19122181.43
Minimum12014036
Maximum53017978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.177129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12014036
5-th percentile15007193.8
Q115068293
median15116980
Q315570622
95-th percentile42126657
Maximum53017978
Range41003942
Interquartile range (IQR)502329

Descriptive statistics

Standard deviation8817830.467
Coefficient of variation (CV)0.4611309908
Kurtosis2.814065617
Mean19122181.43
Median Absolute Deviation (MAD)92230
Skewness2.057000641
Sum5.86859748 × 1010
Variance7.775413415 × 1013
MonotonicityNot monotonic
2025-05-20T09:10:54.210267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15095029 57
 
< 0.1%
15024830 53
 
< 0.1%
15024822 35
 
< 0.1%
15024776 24
 
< 0.1%
15024873 22
 
< 0.1%
15066363 20
 
< 0.1%
15108562 20
 
< 0.1%
15573834 19
 
< 0.1%
15064581 19
 
< 0.1%
15137642 19
 
< 0.1%
Other values (1006) 2781
 
1.3%
(Missing) 214556
98.6%
ValueCountFrequency (%)
12014036 3
< 0.1%
12020320 1
 
< 0.1%
12027278 1
 
< 0.1%
13022865 2
 
< 0.1%
13022903 5
< 0.1%
ValueCountFrequency (%)
53017978 1
< 0.1%
53014707 1
< 0.1%
53003608 1
< 0.1%
52140202 1
< 0.1%
52096300 1
< 0.1%

CO_IES_OFERTANTE
Real number (ℝ)

Missing 

Distinct199
Distinct (%)43.0%
Missing217162
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean3815.207343
Minimum4
Maximum24168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.241417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile220.1
Q1626
median1810
Q33443
95-th percentile15520
Maximum24168
Range24164
Interquartile range (IQR)2817

Descriptive statistics

Standard deviation5078.439392
Coefficient of variation (CV)1.331104429
Kurtosis2.828110574
Mean3815.207343
Median Absolute Deviation (MAD)1352
Skewness1.993229309
Sum1766441
Variance25790546.66
MonotonicityNot monotonic
2025-05-20T09:10:54.273968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3162 22
 
< 0.1%
3189 17
 
< 0.1%
1810 16
 
< 0.1%
1082 16
 
< 0.1%
1807 15
 
< 0.1%
1813 13
 
< 0.1%
1808 10
 
< 0.1%
5036 9
 
< 0.1%
298 9
 
< 0.1%
14408 9
 
< 0.1%
Other values (189) 327
 
0.2%
(Missing) 217162
99.8%
ValueCountFrequency (%)
4 2
< 0.1%
5 3
< 0.1%
8 3
< 0.1%
11 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
24168 1
< 0.1%
22236 1
< 0.1%
21869 1
< 0.1%
21355 1
< 0.1%
20481 1
< 0.1%

IN_LOCAL_FUNC_PREDIO_ESCOLAR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9768185097
Minimum0
Maximum1
Zeros4178
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.297146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1504800135
Coefficient of variation (CV)0.1540511487
Kurtosis38.16268864
Mean0.9768185097
Median Absolute Deviation (MAD)0
Skewness-6.337370523
Sum176052
Variance0.02264423447
MonotonicityNot monotonic
2025-05-20T09:10:54.320695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 176052
80.9%
0 4178
 
1.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 4178
 
1.9%
1 176052
80.9%
ValueCountFrequency (%)
1 176052
80.9%
0 4178
 
1.9%

TP_OCUPACAO_PREDIO_ESCOLAR
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing41573
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean1.25202781
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.344312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5636091371
Coefficient of variation (CV)0.4501570433
Kurtosis3.387920376
Mean1.25202781
Median Absolute Deviation (MAD)0
Skewness2.140854683
Sum220422
Variance0.3176552594
MonotonicityNot monotonic
2025-05-20T09:10:54.369971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 143050
65.7%
2 21634
 
9.9%
3 11368
 
5.2%
(Missing) 41573
 
19.1%
ValueCountFrequency (%)
1 143050
65.7%
2 21634
 
9.9%
3 11368
 
5.2%
ValueCountFrequency (%)
3 11368
 
5.2%
2 21634
 
9.9%
1 143050
65.7%

IN_LOCAL_FUNC_SOCIOEDUCATIVO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.001292792543
Minimum0
Maximum1
Zeros179997
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.393613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0359322751
Coefficient of variation (CV)27.79430876
Kurtosis768.541962
Mean0.001292792543
Median Absolute Deviation (MAD)0
Skewness27.75848399
Sum233
Variance0.001291128394
MonotonicityNot monotonic
2025-05-20T09:10:54.416415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179997
82.7%
1 233
 
0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 179997
82.7%
1 233
 
0.1%
ValueCountFrequency (%)
1 233
 
0.1%
0 179997
82.7%

IN_LOCAL_FUNC_UNID_PRISIONAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.003440048826
Minimum0
Maximum1
Zeros179610
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.436246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05855112221
Coefficient of variation (CV)17.02043348
Kurtosis285.7049597
Mean0.003440048826
Median Absolute Deviation (MAD)0
Skewness16.96177435
Sum620
Variance0.003428233912
MonotonicityNot monotonic
2025-05-20T09:10:54.457432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179610
82.5%
1 620
 
0.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 179610
82.5%
1 620
 
0.3%
ValueCountFrequency (%)
1 620
 
0.3%
0 179610
82.5%

IN_LOCAL_FUNC_PRISIONAL_SOCIO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.004577484326
Minimum0
Maximum1
Zeros179405
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.478400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06750226844
Coefficient of variation (CV)14.74658647
Kurtosis213.47116
Mean0.004577484326
Median Absolute Deviation (MAD)0
Skewness14.67885524
Sum825
Variance0.004556556245
MonotonicityNot monotonic
2025-05-20T09:10:54.499259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179405
82.4%
1 825
 
0.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 179405
82.4%
1 825
 
0.4%
ValueCountFrequency (%)
1 825
 
0.4%
0 179405
82.4%

IN_LOCAL_FUNC_GALPAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01373245298
Minimum0
Maximum1
Zeros177755
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.519893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1163784682
Coefficient of variation (CV)8.474703565
Kurtosis67.83604088
Mean0.01373245298
Median Absolute Deviation (MAD)0
Skewness8.35675105
Sum2475
Variance0.01354394786
MonotonicityNot monotonic
2025-05-20T09:10:54.540194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177755
81.7%
1 2475
 
1.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 177755
81.7%
1 2475
 
1.1%
ValueCountFrequency (%)
1 2475
 
1.1%
0 177755
81.7%

TP_OCUPACAO_GALPAO
Real number (ℝ)

Missing 

Distinct4
Distinct (%)0.2%
Missing215150
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean5.544242424
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.562540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.85246855
Coefficient of variation (CV)0.6948593252
Kurtosis-1.907894458
Mean5.544242424
Median Absolute Deviation (MAD)0
Skewness-0.2395800359
Sum13722
Variance14.84151393
MonotonicityNot monotonic
2025-05-20T09:10:54.586164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
9 1363
 
0.6%
1 895
 
0.4%
3 126
 
0.1%
2 91
 
< 0.1%
(Missing) 215150
98.9%
ValueCountFrequency (%)
1 895
0.4%
2 91
 
< 0.1%
3 126
 
0.1%
9 1363
0.6%
ValueCountFrequency (%)
9 1363
0.6%
3 126
 
0.1%
2 91
 
< 0.1%
1 895
0.4%

IN_LOCAL_FUNC_SALAS_OUTRA_ESC
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.03172057926
Minimum0
Maximum1
Zeros174513
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.612816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1752556833
Coefficient of variation (CV)5.524983698
Kurtosis26.55880532
Mean0.03172057926
Median Absolute Deviation (MAD)0
Skewness5.344016336
Sum5717
Variance0.03071455453
MonotonicityNot monotonic
2025-05-20T09:10:54.633379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 174513
80.2%
1 5717
 
2.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 174513
80.2%
1 5717
 
2.6%
ValueCountFrequency (%)
1 5717
 
2.6%
0 174513
80.2%

IN_LOCAL_FUNC_OUTROS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.06197081507
Minimum0
Maximum1
Zeros169061
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.654100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2411032055
Coefficient of variation (CV)3.890592777
Kurtosis11.20303717
Mean0.06197081507
Median Absolute Deviation (MAD)0
Skewness3.63358127
Sum11169
Variance0.05813075569
MonotonicityNot monotonic
2025-05-20T09:10:54.674261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 169061
77.7%
1 11169
 
5.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 169061
77.7%
1 11169
 
5.1%
ValueCountFrequency (%)
1 11169
 
5.1%
0 169061
77.7%

IN_PREDIO_COMPARTILHADO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing41573
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean0.04684979438
Minimum0
Maximum1
Zeros167804
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.694294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2113176396
Coefficient of variation (CV)4.510535049
Kurtosis16.39446314
Mean0.04684979438
Median Absolute Deviation (MAD)0
Skewness4.288854963
Sum8248
Variance0.04465514479
MonotonicityNot monotonic
2025-05-20T09:10:54.714363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 167804
77.1%
1 8248
 
3.8%
(Missing) 41573
 
19.1%
ValueCountFrequency (%)
0 167804
77.1%
1 8248
 
3.8%
ValueCountFrequency (%)
1 8248
 
3.8%
0 167804
77.1%

IN_AGUA_POTAVEL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9561005382
Minimum0
Maximum1
Zeros7912
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.734466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2048719891
Coefficient of variation (CV)0.2142787092
Kurtosis17.82576547
Mean0.9561005382
Median Absolute Deviation (MAD)0
Skewness-4.452591118
Sum172318
Variance0.04197253194
MonotonicityNot monotonic
2025-05-20T09:10:54.755531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 172318
79.2%
0 7912
 
3.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 7912
 
3.6%
1 172318
79.2%
ValueCountFrequency (%)
1 172318
79.2%
0 7912
 
3.6%

IN_AGUA_REDE_PUBLICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7732674915
Minimum0
Maximum1
Zeros40864
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.775485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4187192984
Coefficient of variation (CV)0.5414934715
Kurtosis-0.2962778208
Mean0.7732674915
Median Absolute Deviation (MAD)0
Skewness-1.305268351
Sum139366
Variance0.1753258509
MonotonicityNot monotonic
2025-05-20T09:10:54.796582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 139366
64.0%
0 40864
 
18.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 40864
 
18.8%
1 139366
64.0%
ValueCountFrequency (%)
1 139366
64.0%
0 40864
 
18.8%

IN_AGUA_POCO_ARTESIANO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1584364423
Minimum0
Maximum1
Zeros151675
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.817681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3651507577
Coefficient of variation (CV)2.304714448
Kurtosis1.500018501
Mean0.1584364423
Median Absolute Deviation (MAD)0
Skewness1.870829189
Sum28555
Variance0.1333350759
MonotonicityNot monotonic
2025-05-20T09:10:54.838461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 151675
69.7%
1 28555
 
13.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 151675
69.7%
1 28555
 
13.1%
ValueCountFrequency (%)
1 28555
 
13.1%
0 151675
69.7%

IN_AGUA_CACIMBA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.08543527715
Minimum0
Maximum1
Zeros164832
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.857775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2795291114
Coefficient of variation (CV)3.271823077
Kurtosis6.798405073
Mean0.08543527715
Median Absolute Deviation (MAD)0
Skewness2.966197841
Sum15398
Variance0.0781365241
MonotonicityNot monotonic
2025-05-20T09:10:54.877789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 164832
75.7%
1 15398
 
7.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 164832
75.7%
1 15398
 
7.1%
ValueCountFrequency (%)
1 15398
 
7.1%
0 164832
75.7%

IN_AGUA_FONTE_RIO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.03843422294
Minimum0
Maximum1
Zeros173303
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.896448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1922426553
Coefficient of variation (CV)5.001861377
Kurtosis21.05906639
Mean0.03843422294
Median Absolute Deviation (MAD)0
Skewness4.801961339
Sum6927
Variance0.0369572385
MonotonicityNot monotonic
2025-05-20T09:10:54.917434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173303
79.6%
1 6927
 
3.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173303
79.6%
1 6927
 
3.2%
ValueCountFrequency (%)
1 6927
 
3.2%
0 173303
79.6%

IN_AGUA_INEXISTENTE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.0169949509
Minimum0
Maximum1
Zeros177167
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.937287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1292525251
Coefficient of variation (CV)7.605348544
Kurtosis53.8598218
Mean0.0169949509
Median Absolute Deviation (MAD)0
Skewness7.473902871
Sum3063
Variance0.01670621523
MonotonicityNot monotonic
2025-05-20T09:10:54.957683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177167
81.4%
1 3063
 
1.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 177167
81.4%
1 3063
 
1.4%
ValueCountFrequency (%)
1 3063
 
1.4%
0 177167
81.4%

IN_ENERGIA_REDE_PUBLICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9687288465
Minimum0
Maximum1
Zeros5636
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:54.977608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1740500979
Coefficient of variation (CV)0.1796685404
Kurtosis27.01141669
Mean0.9687288465
Median Absolute Deviation (MAD)0
Skewness-5.386196891
Sum174594
Variance0.03029343657
MonotonicityNot monotonic
2025-05-20T09:10:54.997342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 174594
80.2%
0 5636
 
2.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 5636
 
2.6%
1 174594
80.2%
ValueCountFrequency (%)
1 174594
80.2%
0 5636
 
2.6%

IN_ENERGIA_GERADOR_FOSSIL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01105809244
Minimum0
Maximum1
Zeros178237
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.018666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1045747183
Coefficient of variation (CV)9.456849713
Kurtosis85.44509575
Mean0.01105809244
Median Absolute Deviation (MAD)0
Skewness9.351157552
Sum1993
Variance0.01093587171
MonotonicityNot monotonic
2025-05-20T09:10:55.039237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178237
81.9%
1 1993
 
0.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 178237
81.9%
1 1993
 
0.9%
ValueCountFrequency (%)
1 1993
 
0.9%
0 178237
81.9%

IN_ENERGIA_RENOVAVEL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02298174555
Minimum0
Maximum1
Zeros176088
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.059437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1498456189
Coefficient of variation (CV)6.520201809
Kurtosis38.53742048
Mean0.02298174555
Median Absolute Deviation (MAD)0
Skewness6.366866799
Sum4142
Variance0.0224537095
MonotonicityNot monotonic
2025-05-20T09:10:55.079468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176088
80.9%
1 4142
 
1.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 176088
80.9%
1 4142
 
1.9%
ValueCountFrequency (%)
1 4142
 
1.9%
0 176088
80.9%

IN_ENERGIA_INEXISTENTE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01434278422
Minimum0
Maximum1
Zeros177645
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.099839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1188997359
Coefficient of variation (CV)8.289864373
Kurtosis64.73785077
Mean0.01434278422
Median Absolute Deviation (MAD)0
Skewness8.169279795
Sum2585
Variance0.0141371472
MonotonicityNot monotonic
2025-05-20T09:10:55.120389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177645
81.6%
1 2585
 
1.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 177645
81.6%
1 2585
 
1.2%
ValueCountFrequency (%)
1 2585
 
1.2%
0 177645
81.6%

IN_ESGOTO_REDE_PUBLICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5732674915
Minimum0
Maximum1
Zeros76910
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.140301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4946041165
Coefficient of variation (CV)0.8627806805
Kurtosis-1.912245011
Mean0.5732674915
Median Absolute Deviation (MAD)0
Skewness-0.2962705006
Sum103320
Variance0.244633232
MonotonicityNot monotonic
2025-05-20T09:10:55.160014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 103320
47.5%
0 76910
35.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 76910
35.3%
1 103320
47.5%
ValueCountFrequency (%)
1 103320
47.5%
0 76910
35.3%

IN_ESGOTO_FOSSA_SEPTICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2304055929
Minimum0
Maximum1
Zeros138704
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.178311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4210936232
Coefficient of variation (CV)1.82761893
Kurtosis-0.3604185438
Mean0.2304055929
Median Absolute Deviation (MAD)0
Skewness1.280462985
Sum41526
Variance0.1773198395
MonotonicityNot monotonic
2025-05-20T09:10:55.199700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 138704
63.7%
1 41526
 
19.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 138704
63.7%
1 41526
 
19.1%
ValueCountFrequency (%)
1 41526
 
19.1%
0 138704
63.7%

IN_ESGOTO_FOSSA_COMUM
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1808577928
Minimum0
Maximum1
Zeros147634
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.219347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3849013817
Coefficient of variation (CV)2.128199043
Kurtosis0.7500493852
Mean0.1808577928
Median Absolute Deviation (MAD)0
Skewness1.658324776
Sum32596
Variance0.1481490736
MonotonicityNot monotonic
2025-05-20T09:10:55.240185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 147634
67.8%
1 32596
 
15.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 147634
67.8%
1 32596
 
15.0%
ValueCountFrequency (%)
1 32596
 
15.0%
0 147634
67.8%

IN_ESGOTO_FOSSA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4112633857
Minimum0
Maximum1
Zeros106108
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.259268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4920641795
Coefficient of variation (CV)1.196469699
Kurtosis-1.869934368
Mean0.4112633857
Median Absolute Deviation (MAD)0
Skewness0.3606748987
Sum74122
Variance0.2421271567
MonotonicityNot monotonic
2025-05-20T09:10:55.278629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 106108
48.8%
1 74122
34.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 106108
48.8%
1 74122
34.1%
ValueCountFrequency (%)
1 74122
34.1%
0 106108
48.8%

IN_ESGOTO_INEXISTENTE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.0353048882
Minimum0
Maximum1
Zeros173867
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.296849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845498362
Coefficient of variation (CV)5.227316828
Kurtosis23.36196795
Mean0.0353048882
Median Absolute Deviation (MAD)0
Skewness5.036040975
Sum6363
Variance0.03405864204
MonotonicityNot monotonic
2025-05-20T09:10:55.317383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173867
79.9%
1 6363
 
2.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173867
79.9%
1 6363
 
2.9%
ValueCountFrequency (%)
1 6363
 
2.9%
0 173867
79.9%

IN_LIXO_SERVICO_COLETA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8306774677
Minimum0
Maximum1
Zeros30517
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.338166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3750375885
Coefficient of variation (CV)0.4514840032
Kurtosis1.109789274
Mean0.8306774677
Median Absolute Deviation (MAD)0
Skewness-1.76345597
Sum149713
Variance0.1406531928
MonotonicityNot monotonic
2025-05-20T09:10:55.358664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 149713
68.8%
0 30517
 
14.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 30517
 
14.0%
1 149713
68.8%
ValueCountFrequency (%)
1 149713
68.8%
0 30517
 
14.0%

IN_LIXO_QUEIMA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1651722799
Minimum0
Maximum1
Zeros150461
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.379427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3713369937
Coefficient of variation (CV)2.248179864
Kurtosis1.252204623
Mean0.1651722799
Median Absolute Deviation (MAD)0
Skewness1.803383134
Sum29769
Variance0.1378911629
MonotonicityNot monotonic
2025-05-20T09:10:55.399920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 150461
69.1%
1 29769
 
13.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 150461
69.1%
1 29769
 
13.7%
ValueCountFrequency (%)
1 29769
 
13.7%
0 150461
69.1%

IN_LIXO_ENTERRA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02350330134
Minimum0
Maximum1
Zeros175994
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.422037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1514959521
Coefficient of variation (CV)6.445730748
Kurtosis37.57235898
Mean0.02350330134
Median Absolute Deviation (MAD)0
Skewness6.290623343
Sum4236
Variance0.02295102351
MonotonicityNot monotonic
2025-05-20T09:10:55.442437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175994
80.9%
1 4236
 
1.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 175994
80.9%
1 4236
 
1.9%
ValueCountFrequency (%)
1 4236
 
1.9%
0 175994
80.9%

IN_LIXO_DESTINO_FINAL_PUBLICO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02335904123
Minimum0
Maximum1
Zeros176020
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.463066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1510414612
Coefficient of variation (CV)6.466081366
Kurtosis37.8349769
Mean0.02335904123
Median Absolute Deviation (MAD)0
Skewness6.311462354
Sum4210
Variance0.022813523
MonotonicityNot monotonic
2025-05-20T09:10:55.483556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176020
80.9%
1 4210
 
1.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 176020
80.9%
1 4210
 
1.9%
ValueCountFrequency (%)
1 4210
 
1.9%
0 176020
80.9%

IN_LIXO_DESCARTA_OUTRA_AREA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.03655329301
Minimum0
Maximum1
Zeros173642
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.503565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1876628498
Coefficient of variation (CV)5.133951945
Kurtosis22.39591106
Mean0.03655329301
Median Absolute Deviation (MAD)0
Skewness4.939196548
Sum6588
Variance0.03521734519
MonotonicityNot monotonic
2025-05-20T09:10:55.523708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173642
79.8%
1 6588
 
3.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173642
79.8%
1 6588
 
3.0%
ValueCountFrequency (%)
1 6588
 
3.0%
0 173642
79.8%

IN_TRATAMENTO_LIXO_SEPARACAO
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4036397936
Minimum0
Maximum9
Zeros119258
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.543210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9103669115
Coefficient of variation (CV)2.255394354
Kurtosis62.02301103
Mean0.4036397936
Median Absolute Deviation (MAD)0
Skewness6.911865243
Sum72748
Variance0.8287679136
MonotonicityNot monotonic
2025-05-20T09:10:55.563592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 119258
54.8%
1 59500
27.3%
9 1472
 
0.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 119258
54.8%
1 59500
27.3%
9 1472
 
0.7%
ValueCountFrequency (%)
9 1472
 
0.7%
1 59500
27.3%
0 119258
54.8%

IN_TRATAMENTO_LIXO_REUTILIZA
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1104921489
Minimum0
Maximum9
Zeros172092
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.582361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.82845401
Coefficient of variation (CV)7.497854083
Kurtosis105.3260682
Mean0.1104921489
Median Absolute Deviation (MAD)0
Skewness10.13409071
Sum19914
Variance0.6863360466
MonotonicityNot monotonic
2025-05-20T09:10:55.602293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 172092
79.1%
1 6666
 
3.1%
9 1472
 
0.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 172092
79.1%
1 6666
 
3.1%
9 1472
 
0.7%
ValueCountFrequency (%)
9 1472
 
0.7%
1 6666
 
3.1%
0 172092
79.1%

IN_TRATAMENTO_LIXO_RECICLAGEM
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1775453587
Minimum0
Maximum9
Zeros160007
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.621195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8567821671
Coefficient of variation (CV)4.825708615
Kurtosis88.91762147
Mean0.1775453587
Median Absolute Deviation (MAD)0
Skewness9.001668501
Sum31999
Variance0.7340756819
MonotonicityNot monotonic
2025-05-20T09:10:55.641421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 160007
73.5%
1 18751
 
8.6%
9 1472
 
0.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 160007
73.5%
1 18751
 
8.6%
9 1472
 
0.7%
ValueCountFrequency (%)
9 1472
 
0.7%
1 18751
 
8.6%
0 160007
73.5%

IN_TRATAMENTO_LIXO_INEXISTENTE
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6931420962
Minimum0
Maximum9
Zeros67081
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.659819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8948458963
Coefficient of variation (CV)1.290999207
Kurtosis57.79543326
Mean0.6931420962
Median Absolute Deviation (MAD)0
Skewness6.385619626
Sum124925
Variance0.8007491782
MonotonicityNot monotonic
2025-05-20T09:10:55.678972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 111677
51.3%
0 67081
30.8%
9 1472
 
0.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 67081
30.8%
1 111677
51.3%
9 1472
 
0.7%
ValueCountFrequency (%)
9 1472
 
0.7%
1 111677
51.3%
0 67081
30.8%

IN_ALMOXARIFADO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5068190645
Minimum0
Maximum1
Zeros88886
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.697737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999548852
Coefficient of variation (CV)0.9864563514
Kurtosis-1.999278041
Mean0.5068190645
Median Absolute Deviation (MAD)0
Skewness-0.02727902218
Sum91344
Variance0.2499548872
MonotonicityNot monotonic
2025-05-20T09:10:55.716433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 91344
42.0%
0 88886
40.8%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 88886
40.8%
1 91344
42.0%
ValueCountFrequency (%)
1 91344
42.0%
0 88886
40.8%

IN_AREA_VERDE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3520779005
Minimum0
Maximum1
Zeros116775
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.736163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4776194282
Coefficient of variation (CV)1.356573155
Kurtosis-1.616335618
Mean0.3520779005
Median Absolute Deviation (MAD)0
Skewness0.6194209545
Sum63455
Variance0.2281203182
MonotonicityNot monotonic
2025-05-20T09:10:55.757494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 116775
53.7%
1 63455
29.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 116775
53.7%
1 63455
29.2%
ValueCountFrequency (%)
1 63455
29.2%
0 116775
53.7%

IN_AUDITORIO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1239138878
Minimum0
Maximum1
Zeros157897
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.778520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3294842008
Coefficient of variation (CV)2.658977186
Kurtosis3.211683145
Mean0.1239138878
Median Absolute Deviation (MAD)0
Skewness2.282903306
Sum22333
Variance0.1085598386
MonotonicityNot monotonic
2025-05-20T09:10:55.798409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 157897
72.6%
1 22333
 
10.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 157897
72.6%
1 22333
 
10.3%
ValueCountFrequency (%)
1 22333
 
10.3%
0 157897
72.6%

IN_BANHEIRO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9723353493
Minimum0
Maximum1
Zeros4986
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.820138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16401057
Coefficient of variation (CV)0.1686769592
Kurtosis31.17656215
Mean0.9723353493
Median Absolute Deviation (MAD)0
Skewness-5.759879876
Sum175244
Variance0.02689946708
MonotonicityNot monotonic
2025-05-20T09:10:55.841686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 175244
80.5%
0 4986
 
2.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 4986
 
2.3%
1 175244
80.5%
ValueCountFrequency (%)
1 175244
80.5%
0 4986
 
2.3%

IN_BANHEIRO_EI
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3987515952
Minimum0
Maximum1
Zeros108363
Zeros (%)49.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.861149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4896428196
Coefficient of variation (CV)1.227939463
Kurtosis-1.828984415
Mean0.3987515952
Median Absolute Deviation (MAD)0
Skewness0.4135648449
Sum71867
Variance0.2397500908
MonotonicityNot monotonic
2025-05-20T09:10:55.881007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 108363
49.8%
1 71867
33.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 108363
49.8%
1 71867
33.0%
ValueCountFrequency (%)
1 71867
33.0%
0 108363
49.8%

IN_BANHEIRO_PNE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5293291905
Minimum0
Maximum1
Zeros84829
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:55.900607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4991404421
Coefficient of variation (CV)0.9429679131
Kurtosis-1.986211068
Mean0.5293291905
Median Absolute Deviation (MAD)0
Skewness-0.1175200944
Sum95401
Variance0.2491411809
MonotonicityNot monotonic
2025-05-20T09:10:56.078514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 95401
43.8%
0 84829
39.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 84829
39.0%
1 95401
43.8%
ValueCountFrequency (%)
1 95401
43.8%
0 84829
39.0%

IN_BANHEIRO_FUNCIONARIOS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6035787605
Minimum0
Maximum1
Zeros71447
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.099827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4891551574
Coefficient of variation (CV)0.8104247356
Kurtosis-1.820663433
Mean0.6035787605
Median Absolute Deviation (MAD)0
Skewness-0.423505337
Sum108783
Variance0.239272768
MonotonicityNot monotonic
2025-05-20T09:10:56.120409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 108783
50.0%
0 71447
32.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 71447
32.8%
1 108783
50.0%
ValueCountFrequency (%)
1 108783
50.0%
0 71447
32.8%

IN_BANHEIRO_CHUVEIRO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.439649337
Minimum0
Maximum1
Zeros100992
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.139423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4963458113
Coefficient of variation (CV)1.128958398
Kurtosis-1.94088376
Mean0.439649337
Median Absolute Deviation (MAD)0
Skewness0.2431826013
Sum79238
Variance0.2463591644
MonotonicityNot monotonic
2025-05-20T09:10:56.159381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 100992
46.4%
1 79238
36.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 100992
46.4%
1 79238
36.4%
ValueCountFrequency (%)
1 79238
36.4%
0 100992
46.4%

IN_BIBLIOTECA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3655440271
Minimum0
Maximum1
Zeros114348
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.177781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4815837187
Coefficient of variation (CV)1.317443818
Kurtosis-1.688211464
Mean0.3655440271
Median Absolute Deviation (MAD)0
Skewness0.5583970544
Sum65882
Variance0.2319228782
MonotonicityNot monotonic
2025-05-20T09:10:56.197628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 114348
52.5%
1 65882
30.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 114348
52.5%
1 65882
30.3%
ValueCountFrequency (%)
1 65882
30.3%
0 114348
52.5%

IN_BIBLIOTECA_SALA_LEITURA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5238362093
Minimum0
Maximum1
Zeros85819
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.216249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4994328975
Coefficient of variation (CV)0.9534142326
Kurtosis-1.990910597
Mean0.5238362093
Median Absolute Deviation (MAD)0
Skewness-0.09545415979
Sum94411
Variance0.2494332191
MonotonicityNot monotonic
2025-05-20T09:10:56.236013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 94411
43.4%
0 85819
39.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 85819
39.4%
1 94411
43.4%
ValueCountFrequency (%)
1 94411
43.4%
0 85819
39.4%

IN_COZINHA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9254896521
Minimum0
Maximum1
Zeros13429
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.253933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26260034
Coefficient of variation (CV)0.2837420596
Kurtosis8.501732907
Mean0.9254896521
Median Absolute Deviation (MAD)0
Skewness-3.240623175
Sum166801
Variance0.06895893856
MonotonicityNot monotonic
2025-05-20T09:10:56.274313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 166801
76.6%
0 13429
 
6.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 13429
 
6.2%
1 166801
76.6%
ValueCountFrequency (%)
1 166801
76.6%
0 13429
 
6.2%

IN_DESPENSA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6734561394
Minimum0
Maximum1
Zeros58853
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.296238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4689500911
Coefficient of variation (CV)0.6963335303
Kurtosis-1.452753567
Mean0.6734561394
Median Absolute Deviation (MAD)0
Skewness-0.739771961
Sum121377
Variance0.2199141879
MonotonicityNot monotonic
2025-05-20T09:10:56.316622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 121377
55.8%
0 58853
27.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 58853
27.0%
1 121377
55.8%
ValueCountFrequency (%)
1 121377
55.8%
0 58853
27.0%

IN_DORMITORIO_ALUNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02890195861
Minimum0
Maximum1
Zeros175021
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.337566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1675314631
Coefficient of variation (CV)5.796543596
Kurtosis29.63034868
Mean0.02890195861
Median Absolute Deviation (MAD)0
Skewness5.624057243
Sum5209
Variance0.02806679112
MonotonicityNot monotonic
2025-05-20T09:10:56.358309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175021
80.4%
1 5209
 
2.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 175021
80.4%
1 5209
 
2.4%
ValueCountFrequency (%)
1 5209
 
2.4%
0 175021
80.4%

IN_DORMITORIO_PROFESSOR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01154080897
Minimum0
Maximum1
Zeros178150
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.378425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1068067507
Coefficient of variation (CV)9.254702247
Kurtosis81.66301281
Mean0.01154080897
Median Absolute Deviation (MAD)0
Skewness9.146699219
Sum2080
Variance0.01140768199
MonotonicityNot monotonic
2025-05-20T09:10:56.398394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178150
81.9%
1 2080
 
1.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 178150
81.9%
1 2080
 
1.0%
ValueCountFrequency (%)
1 2080
 
1.0%
0 178150
81.9%

IN_LABORATORIO_CIENCIAS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1254841036
Minimum0
Maximum1
Zeros157614
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.418817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3312679463
Coefficient of variation (CV)2.639919613
Kurtosis3.112746331
Mean0.1254841036
Median Absolute Deviation (MAD)0
Skewness2.261130644
Sum22616
Variance0.1097384523
MonotonicityNot monotonic
2025-05-20T09:10:56.438597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 157614
72.4%
1 22616
 
10.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 157614
72.4%
1 22616
 
10.4%
ValueCountFrequency (%)
1 22616
 
10.4%
0 157614
72.4%

IN_LABORATORIO_INFORMATICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3022249348
Minimum0
Maximum1
Zeros125760
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.458210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4592234681
Coefficient of variation (CV)1.519475779
Kurtosis-1.258081189
Mean0.3022249348
Median Absolute Deviation (MAD)0
Skewness0.8613551948
Sum54470
Variance0.2108861937
MonotonicityNot monotonic
2025-05-20T09:10:56.477713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 125760
57.8%
1 54470
25.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 125760
57.8%
1 54470
25.0%
ValueCountFrequency (%)
1 54470
25.0%
0 125760
57.8%

IN_LABORATORIO_EDUC_PROF
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01691727237
Minimum0
Maximum1
Zeros177181
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.497024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1289618957
Coefficient of variation (CV)7.623090346
Kurtosis54.12992736
Mean0.01691727237
Median Absolute Deviation (MAD)0
Skewness7.491950793
Sum3049
Variance0.01663117055
MonotonicityNot monotonic
2025-05-20T09:10:56.518287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177181
81.4%
1 3049
 
1.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 177181
81.4%
1 3049
 
1.4%
ValueCountFrequency (%)
1 3049
 
1.4%
0 177181
81.4%

IN_PATIO_COBERTO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5691227875
Minimum0
Maximum1
Zeros77657
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.538275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4952003644
Coefficient of variation (CV)0.8701116441
Kurtosis-1.922083159
Mean0.5691227875
Median Absolute Deviation (MAD)0
Skewness-0.2791740862
Sum102573
Variance0.2452234009
MonotonicityNot monotonic
2025-05-20T09:10:56.557980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 102573
47.1%
0 77657
35.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 77657
35.7%
1 102573
47.1%
ValueCountFrequency (%)
1 102573
47.1%
0 77657
35.7%

IN_PATIO_DESCOBERTO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4855739888
Minimum0
Maximum1
Zeros92715
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.576855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4997932334
Coefficient of variation (CV)1.029283374
Kurtosis-1.996689571
Mean0.4855739888
Median Absolute Deviation (MAD)0
Skewness0.05772855785
Sum87515
Variance0.2497932762
MonotonicityNot monotonic
2025-05-20T09:10:56.595647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 92715
42.6%
1 87515
40.2%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 92715
42.6%
1 87515
40.2%
ValueCountFrequency (%)
1 87515
40.2%
0 92715
42.6%

IN_PARQUE_INFANTIL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3673694723
Minimum0
Maximum1
Zeros114019
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.613237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4820896521
Coefficient of variation (CV)1.312274667
Kurtosis-1.697257085
Mean0.3673694723
Median Absolute Deviation (MAD)0
Skewness0.5502379024
Sum66211
Variance0.2324104327
MonotonicityNot monotonic
2025-05-20T09:10:56.632903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 114019
52.4%
1 66211
30.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 114019
52.4%
1 66211
30.4%
ValueCountFrequency (%)
1 66211
30.4%
0 114019
52.4%

IN_PISCINA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02789213782
Minimum0
Maximum1
Zeros175203
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.651222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1646642551
Coefficient of variation (CV)5.903608255
Kurtosis30.88197951
Mean0.02789213782
Median Absolute Deviation (MAD)0
Skewness5.734251199
Sum5027
Variance0.02711431691
MonotonicityNot monotonic
2025-05-20T09:10:56.671633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175203
80.5%
1 5027
 
2.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 175203
80.5%
1 5027
 
2.3%
ValueCountFrequency (%)
1 5027
 
2.3%
0 175203
80.5%

IN_QUADRA_ESPORTES
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.380502691
Minimum0
Maximum1
Zeros111652
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.690764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4855117929
Coefficient of variation (CV)1.275974663
Kurtosis-1.757701149
Mean0.380502691
Median Absolute Deviation (MAD)0
Skewness0.4922584243
Sum68578
Variance0.235721701
MonotonicityNot monotonic
2025-05-20T09:10:56.709605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 111652
51.3%
1 68578
31.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 111652
51.3%
1 68578
31.5%
ValueCountFrequency (%)
1 68578
31.5%
0 111652
51.3%

IN_QUADRA_ESPORTES_COBERTA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2832547301
Minimum0
Maximum1
Zeros129179
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.729027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4505803085
Coefficient of variation (CV)1.590724746
Kurtosis-1.074409525
Mean0.2832547301
Median Absolute Deviation (MAD)0
Skewness0.9620823239
Sum51051
Variance0.2030226144
MonotonicityNot monotonic
2025-05-20T09:10:56.748726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 129179
59.4%
1 51051
 
23.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 129179
59.4%
1 51051
 
23.5%
ValueCountFrequency (%)
1 51051
 
23.5%
0 129179
59.4%

IN_QUADRA_ESPORTES_DESCOBERTA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1450036065
Minimum0
Maximum1
Zeros154096
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.767965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3521054508
Coefficient of variation (CV)2.428253057
Kurtosis2.066066379
Mean0.1450036065
Median Absolute Deviation (MAD)0
Skewness2.016443268
Sum26134
Variance0.1239782485
MonotonicityNot monotonic
2025-05-20T09:10:56.787524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 154096
70.8%
1 26134
 
12.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 154096
70.8%
1 26134
 
12.0%
ValueCountFrequency (%)
1 26134
 
12.0%
0 154096
70.8%

IN_REFEITORIO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5177661876
Minimum0
Maximum1
Zeros86913
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.807608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4996856491
Coefficient of variation (CV)0.9650797233
Kurtosis-1.994965471
Mean0.5177661876
Median Absolute Deviation (MAD)0
Skewness-0.07111024634
Sum93317
Variance0.2496857479
MonotonicityNot monotonic
2025-05-20T09:10:56.829195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 93317
42.9%
0 86913
39.9%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 86913
39.9%
1 93317
42.9%
ValueCountFrequency (%)
1 93317
42.9%
0 86913
39.9%

IN_SALA_ATELIE_ARTES
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.04936470066
Minimum0
Maximum1
Zeros171333
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.849211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2166289163
Coefficient of variation (CV)4.388336471
Kurtosis15.30977626
Mean0.04936470066
Median Absolute Deviation (MAD)0
Skewness4.160481507
Sum8897
Variance0.04692808737
MonotonicityNot monotonic
2025-05-20T09:10:56.871205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 171333
78.7%
1 8897
 
4.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 171333
78.7%
1 8897
 
4.1%
ValueCountFrequency (%)
1 8897
 
4.1%
0 171333
78.7%

IN_SALA_MUSICA_CORAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02469067303
Minimum0
Maximum1
Zeros175780
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.890562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1551811113
Coefficient of variation (CV)6.285009369
Kurtosis35.52745823
Mean0.02469067303
Median Absolute Deviation (MAD)0
Skewness6.125933723
Sum4450
Variance0.02408117731
MonotonicityNot monotonic
2025-05-20T09:10:56.911674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175780
80.8%
1 4450
 
2.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 175780
80.8%
1 4450
 
2.0%
ValueCountFrequency (%)
1 4450
 
2.0%
0 175780
80.8%

IN_SALA_ESTUDIO_DANCA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01854297287
Minimum0
Maximum1
Zeros176888
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.931896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1349045292
Coefficient of variation (CV)7.275237373
Kurtosis48.94906971
Mean0.01854297287
Median Absolute Deviation (MAD)0
Skewness7.137823655
Sum3342
Variance0.018199232
MonotonicityNot monotonic
2025-05-20T09:10:56.953412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176888
81.3%
1 3342
 
1.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 176888
81.3%
1 3342
 
1.5%
ValueCountFrequency (%)
1 3342
 
1.5%
0 176888
81.3%

IN_SALA_MULTIUSO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.09929534484
Minimum0
Maximum1
Zeros162334
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:56.972552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2990589834
Coefficient of variation (CV)3.011812728
Kurtosis5.181384459
Mean0.09929534484
Median Absolute Deviation (MAD)0
Skewness2.679799799
Sum17896
Variance0.08943627556
MonotonicityNot monotonic
2025-05-20T09:10:56.992526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 162334
74.6%
1 17896
 
8.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 162334
74.6%
1 17896
 
8.2%
ValueCountFrequency (%)
1 17896
 
8.2%
0 162334
74.6%

IN_SALA_ESTUDIO_GRAVACAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.003190367863
Minimum0
Maximum1
Zeros179655
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.011480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05639332462
Coefficient of variation (CV)17.67611982
Kurtosis308.4552693
Mean0.003190367863
Median Absolute Deviation (MAD)0
Skewness17.61964377
Sum575
Variance0.003180207061
MonotonicityNot monotonic
2025-05-20T09:10:57.031871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179655
82.6%
1 575
 
0.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 179655
82.6%
1 575
 
0.3%
ValueCountFrequency (%)
1 575
 
0.3%
0 179655
82.6%

IN_SALA_OFICINAS_EDUC_PROF
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.008921933086
Minimum0
Maximum1
Zeros178622
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.051981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09403393673
Coefficient of variation (CV)10.53963708
Kurtosis107.0953399
Mean0.008921933086
Median Absolute Deviation (MAD)0
Skewness10.44481457
Sum1608
Variance0.008842381257
MonotonicityNot monotonic
2025-05-20T09:10:57.072352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178622
82.1%
1 1608
 
0.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 178622
82.1%
1 1608
 
0.7%
ValueCountFrequency (%)
1 1608
 
0.7%
0 178622
82.1%

IN_SALA_DIRETORIA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7317594185
Minimum0
Maximum1
Zeros48345
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.092145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4430447619
Coefficient of variation (CV)0.6054513965
Kurtosis-0.9054257777
Mean0.7317594185
Median Absolute Deviation (MAD)0
Skewness-1.046223814
Sum131885
Variance0.196288661
MonotonicityNot monotonic
2025-05-20T09:10:57.111533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 131885
60.6%
0 48345
 
22.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 48345
 
22.2%
1 131885
60.6%
ValueCountFrequency (%)
1 131885
60.6%
0 48345
 
22.2%

IN_SALA_LEITURA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2725517394
Minimum0
Maximum1
Zeros131108
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.130788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4452733866
Coefficient of variation (CV)1.633720583
Kurtosis-0.9562968926
Mean0.2725517394
Median Absolute Deviation (MAD)0
Skewness1.021623081
Sum49122
Variance0.1982683889
MonotonicityNot monotonic
2025-05-20T09:10:57.150264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 131108
60.2%
1 49122
 
22.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 131108
60.2%
1 49122
 
22.6%
ValueCountFrequency (%)
1 49122
 
22.6%
0 131108
60.2%

IN_SALA_PROFESSOR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6432613882
Minimum0
Maximum1
Zeros64295
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.169337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4790380443
Coefficient of variation (CV)0.7447020031
Kurtosis-1.642261398
Mean0.6432613882
Median Absolute Deviation (MAD)0
Skewness-0.5981277675
Sum115935
Variance0.2294774479
MonotonicityNot monotonic
2025-05-20T09:10:57.189143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 115935
53.3%
0 64295
29.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 64295
29.5%
1 115935
53.3%
ValueCountFrequency (%)
1 115935
53.3%
0 64295
29.5%

IN_SALA_REPOUSO_ALUNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.04830494368
Minimum0
Maximum1
Zeros171524
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.207770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2144104269
Coefficient of variation (CV)4.438684958
Kurtosis15.7530419
Mean0.04830494368
Median Absolute Deviation (MAD)0
Skewness4.213415134
Sum8706
Variance0.04597183117
MonotonicityNot monotonic
2025-05-20T09:10:57.229223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 171524
78.8%
1 8706
 
4.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 171524
78.8%
1 8706
 
4.0%
ValueCountFrequency (%)
1 8706
 
4.0%
0 171524
78.8%

IN_SECRETARIA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7463241414
Minimum0
Maximum1
Zeros45720
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.252090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.435115465
Coefficient of variation (CV)0.5830113765
Kurtosis-0.7180477552
Mean0.7463241414
Median Absolute Deviation (MAD)0
Skewness-1.132236818
Sum134510
Variance0.1893254678
MonotonicityNot monotonic
2025-05-20T09:10:57.273176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 134510
61.8%
0 45720
 
21.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 45720
 
21.0%
1 134510
61.8%
ValueCountFrequency (%)
1 134510
61.8%
0 45720
 
21.0%

IN_SALA_ATENDIMENTO_ESPECIAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2313654774
Minimum0
Maximum1
Zeros138531
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.294088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4217066279
Coefficient of variation (CV)1.822686049
Kurtosis-0.376802725
Mean0.2313654774
Median Absolute Deviation (MAD)0
Skewness1.274049236
Sum41699
Variance0.17783648
MonotonicityNot monotonic
2025-05-20T09:10:57.316081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 138531
63.7%
1 41699
 
19.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 138531
63.7%
1 41699
 
19.2%
ValueCountFrequency (%)
1 41699
 
19.2%
0 138531
63.7%

IN_TERREIRAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.120140931
Minimum0
Maximum1
Zeros158577
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.336370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3251271663
Coefficient of variation (CV)2.706214805
Kurtosis3.460232874
Mean0.120140931
Median Absolute Deviation (MAD)0
Skewness2.336705903
Sum21653
Variance0.1057076742
MonotonicityNot monotonic
2025-05-20T09:10:57.357107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 158577
72.9%
1 21653
 
9.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 158577
72.9%
1 21653
 
9.9%
ValueCountFrequency (%)
1 21653
 
9.9%
0 158577
72.9%

IN_VIVEIRO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.009532264329
Minimum0
Maximum1
Zeros178512
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.376433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09716713771
Coefficient of variation (CV)10.19350013
Kurtosis99.91929772
Mean0.009532264329
Median Absolute Deviation (MAD)0
Skewness10.09545387
Sum1718
Variance0.009441452651
MonotonicityNot monotonic
2025-05-20T09:10:57.397604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178512
82.0%
1 1718
 
0.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 178512
82.0%
1 1718
 
0.8%
ValueCountFrequency (%)
1 1718
 
0.8%
0 178512
82.0%

IN_DEPENDENCIAS_OUTRAS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.009948399268
Minimum0
Maximum1
Zeros178437
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.416908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09924456292
Coefficient of variation (CV)9.975932836
Kurtosis95.53141567
Mean0.009948399268
Median Absolute Deviation (MAD)0
Skewness9.875745823
Sum1793
Variance0.009849483269
MonotonicityNot monotonic
2025-05-20T09:10:57.437640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178437
82.0%
1 1793
 
0.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 178437
82.0%
1 1793
 
0.8%
ValueCountFrequency (%)
1 1793
 
0.8%
0 178437
82.0%

IN_ACESSIBILIDADE_CORRIMAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3121566887
Minimum0
Maximum1
Zeros123970
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.458298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4633746667
Coefficient of variation (CV)1.484429722
Kurtosis-1.342665111
Mean0.3121566887
Median Absolute Deviation (MAD)0
Skewness0.8107711074
Sum56260
Variance0.2147160817
MonotonicityNot monotonic
2025-05-20T09:10:57.477737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 123970
57.0%
1 56260
25.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 123970
57.0%
1 56260
25.9%
ValueCountFrequency (%)
1 56260
25.9%
0 123970
57.0%

IN_ACESSIBILIDADE_ELEVADOR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.04447095378
Minimum0
Maximum1
Zeros172215
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.497762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061395737
Coefficient of variation (CV)4.635375591
Kurtosis17.53364802
Mean0.04447095378
Median Absolute Deviation (MAD)0
Skewness4.419666667
Sum8015
Variance0.04249352382
MonotonicityNot monotonic
2025-05-20T09:10:57.517319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 172215
79.1%
1 8015
 
3.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 172215
79.1%
1 8015
 
3.7%
ValueCountFrequency (%)
1 8015
 
3.7%
0 172215
79.1%

IN_ACESSIBILIDADE_PISOS_TATEIS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1057260168
Minimum0
Maximum1
Zeros161175
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.537400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3074874806
Coefficient of variation (CV)2.90834262
Kurtosis4.576795658
Mean0.1057260168
Median Absolute Deviation (MAD)0
Skewness2.564516498
Sum19055
Variance0.09454855074
MonotonicityNot monotonic
2025-05-20T09:10:57.557048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 161175
74.1%
1 19055
 
8.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 161175
74.1%
1 19055
 
8.8%
ValueCountFrequency (%)
1 19055
 
8.8%
0 161175
74.1%

IN_ACESSIBILIDADE_VAO_LIVRE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3957443267
Minimum0
Maximum1
Zeros108905
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.575964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4890113305
Coefficient of variation (CV)1.235674898
Kurtosis-1.818204561
Mean0.3957443267
Median Absolute Deviation (MAD)0
Skewness0.4263984236
Sum71325
Variance0.2391320814
MonotonicityNot monotonic
2025-05-20T09:10:57.595502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 108905
50.0%
1 71325
32.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 108905
50.0%
1 71325
32.8%
ValueCountFrequency (%)
1 71325
32.8%
0 108905
50.0%

IN_ACESSIBILIDADE_RAMPAS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5480441658
Minimum0
Maximum1
Zeros81456
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.613753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4976877861
Coefficient of variation (CV)0.9081162016
Kurtosis-1.962745122
Mean0.5480441658
Median Absolute Deviation (MAD)0
Skewness-0.1930716416
Sum98774
Variance0.2476931325
MonotonicityNot monotonic
2025-05-20T09:10:57.633865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 98774
45.4%
0 81456
37.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 81456
37.4%
1 98774
45.4%
ValueCountFrequency (%)
1 98774
45.4%
0 81456
37.4%

IN_ACESSIBILIDADE_SINAL_SONORO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02410808411
Minimum0
Maximum1
Zeros175885
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.652575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1533851849
Coefficient of variation (CV)6.362396287
Kurtosis36.50561159
Mean0.02410808411
Median Absolute Deviation (MAD)0
Skewness6.205256359
Sum4345
Variance0.02352701493
MonotonicityNot monotonic
2025-05-20T09:10:57.673162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175885
80.8%
1 4345
 
2.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 175885
80.8%
1 4345
 
2.0%
ValueCountFrequency (%)
1 4345
 
2.0%
0 175885
80.8%

IN_ACESSIBILIDADE_SINAL_TATIL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.04419907895
Minimum0
Maximum1
Zeros172264
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.692311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.205537721
Coefficient of variation (CV)4.650271587
Kurtosis17.67167237
Mean0.04419907895
Median Absolute Deviation (MAD)0
Skewness4.435253799
Sum7966
Variance0.04224575477
MonotonicityNot monotonic
2025-05-20T09:10:57.712981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 172264
79.2%
1 7966
 
3.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 172264
79.2%
1 7966
 
3.7%
ValueCountFrequency (%)
1 7966
 
3.7%
0 172264
79.2%

IN_ACESSIBILIDADE_SINAL_VISUAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.09294235144
Minimum0
Maximum1
Zeros163479
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.732174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2903524384
Coefficient of variation (CV)3.12400573
Kurtosis5.862019326
Mean0.09294235144
Median Absolute Deviation (MAD)0
Skewness2.803917666
Sum16751
Variance0.08430453851
MonotonicityNot monotonic
2025-05-20T09:10:57.751689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 163479
75.1%
1 16751
 
7.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 163479
75.1%
1 16751
 
7.7%
ValueCountFrequency (%)
1 16751
 
7.7%
0 163479
75.1%

IN_ACESSIBILIDADE_INEXISTENTE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3155357044
Minimum0
Maximum1
Zeros123361
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.771285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4647301604
Coefficient of variation (CV)1.472829077
Kurtosis-1.369794668
Mean0.3155357044
Median Absolute Deviation (MAD)0
Skewness0.7938643039
Sum56869
Variance0.215974122
MonotonicityNot monotonic
2025-05-20T09:10:57.790436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 123361
56.7%
1 56869
26.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 123361
56.7%
1 56869
26.1%
ValueCountFrequency (%)
1 56869
26.1%
0 123361
56.7%

QT_SALAS_UTILIZADAS_DENTRO
Real number (ℝ)

Missing  Zeros 

Distinct128
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean8.219652666
Minimum0
Maximum601
Zeros4178
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.817153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q311
95-th percentile19
Maximum601
Range601
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.053117691
Coefficient of variation (CV)0.8580797726
Kurtosis335.0772076
Mean8.219652666
Median Absolute Deviation (MAD)3
Skewness7.471417844
Sum1481428
Variance49.74646916
MonotonicityNot monotonic
2025-05-20T09:10:57.850858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16553
 
7.6%
5 15767
 
7.2%
4 15458
 
7.1%
8 13765
 
6.3%
2 13128
 
6.0%
7 13045
 
6.0%
9 10590
 
4.9%
10 10480
 
4.8%
3 10232
 
4.7%
1 10203
 
4.7%
Other values (118) 51009
23.4%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 4178
 
1.9%
1 10203
4.7%
2 13128
6.0%
3 10232
4.7%
4 15458
7.1%
ValueCountFrequency (%)
601 1
< 0.1%
250 1
< 0.1%
226 1
< 0.1%
223 1
< 0.1%
203 1
< 0.1%

QT_SALAS_UTILIZADAS_FORA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct82
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5356932808
Minimum0
Maximum2347
Zeros160724
Zeros (%)73.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.884384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum2347
Range2347
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.419731338
Coefficient of variation (CV)15.7174481
Kurtosis64506.4166
Mean0.5356932808
Median Absolute Deviation (MAD)0
Skewness238.2392312
Sum96548
Variance70.89187581
MonotonicityNot monotonic
2025-05-20T09:10:57.918246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160724
73.9%
1 5783
 
2.7%
2 3464
 
1.6%
3 2261
 
1.0%
4 1866
 
0.9%
5 1220
 
0.6%
6 1028
 
0.5%
7 648
 
0.3%
8 580
 
0.3%
9 441
 
0.2%
Other values (72) 2215
 
1.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 160724
73.9%
1 5783
 
2.7%
2 3464
 
1.6%
3 2261
 
1.0%
4 1866
 
0.9%
ValueCountFrequency (%)
2347 1
< 0.1%
2294 1
< 0.1%
797 1
< 0.1%
426 1
< 0.1%
312 1
< 0.1%

QT_SALAS_UTILIZADAS
Real number (ℝ)

Missing  Skewed 

Distinct141
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean8.755345947
Minimum1
Maximum2378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:57.950671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q311
95-th percentile20
Maximum2378
Range2377
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.00068477
Coefficient of variation (CV)1.256453467
Kurtosis22577.08407
Mean8.755345947
Median Absolute Deviation (MAD)3
Skewness110.2633939
Sum1577976
Variance121.0150654
MonotonicityNot monotonic
2025-05-20T09:10:57.984774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16282
 
7.5%
5 15489
 
7.1%
4 15068
 
6.9%
8 13837
 
6.4%
7 13121
 
6.0%
2 12924
 
5.9%
1 10842
 
5.0%
9 10771
 
4.9%
10 10673
 
4.9%
3 10266
 
4.7%
Other values (131) 50957
23.4%
(Missing) 37395
17.2%
ValueCountFrequency (%)
1 10842
5.0%
2 12924
5.9%
3 10266
4.7%
4 15068
6.9%
5 15489
7.1%
ValueCountFrequency (%)
2378 1
< 0.1%
2298 1
< 0.1%
816 1
< 0.1%
601 1
< 0.1%
431 1
< 0.1%

QT_SALAS_UTILIZA_CLIMATIZADAS
Real number (ℝ)

Missing  Zeros 

Distinct107
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean3.326904511
Minimum0
Maximum431
Zeros107182
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.017766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile14
Maximum431
Range431
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.180122721
Coefficient of variation (CV)1.857619508
Kurtosis172.7021024
Mean3.326904511
Median Absolute Deviation (MAD)0
Skewness5.908057524
Sum599608
Variance38.19391685
MonotonicityNot monotonic
2025-05-20T09:10:58.199535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107182
49.3%
6 6654
 
3.1%
4 6423
 
3.0%
5 6294
 
2.9%
1 6275
 
2.9%
8 5497
 
2.5%
2 5258
 
2.4%
7 5082
 
2.3%
3 4756
 
2.2%
10 4338
 
2.0%
Other values (97) 22471
 
10.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 107182
49.3%
1 6275
 
2.9%
2 5258
 
2.4%
3 4756
 
2.2%
4 6423
 
3.0%
ValueCountFrequency (%)
431 1
< 0.1%
230 1
< 0.1%
203 1
< 0.1%
162 1
< 0.1%
150 1
< 0.1%

QT_SALAS_UTILIZADAS_ACESSIVEIS
Real number (ℝ)

Missing  Zeros 

Distinct109
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean2.689862953
Minimum0
Maximum431
Zeros117345
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.231610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile13
Maximum431
Range431
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.759012027
Coefficient of variation (CV)2.141005742
Kurtosis302.8537504
Mean2.689862953
Median Absolute Deviation (MAD)0
Skewness8.111640071
Sum484794
Variance33.16621953
MonotonicityNot monotonic
2025-05-20T09:10:58.264569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117345
53.9%
1 7538
 
3.5%
4 5473
 
2.5%
5 5322
 
2.4%
6 5316
 
2.4%
2 5208
 
2.4%
3 4416
 
2.0%
8 4397
 
2.0%
7 4007
 
1.8%
10 3506
 
1.6%
Other values (99) 17702
 
8.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 117345
53.9%
1 7538
 
3.5%
2 5208
 
2.4%
3 4416
 
2.0%
4 5473
 
2.5%
ValueCountFrequency (%)
431 1
< 0.1%
355 1
< 0.1%
203 1
< 0.1%
200 1
< 0.1%
185 1
< 0.1%

IN_EQUIP_PARABOLICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1148476946
Minimum0
Maximum1
Zeros159531
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.287853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3188389338
Coefficient of variation (CV)2.776189238
Kurtosis3.837072738
Mean0.1148476946
Median Absolute Deviation (MAD)0
Skewness2.415994652
Sum20699
Variance0.1016582657
MonotonicityNot monotonic
2025-05-20T09:10:58.307931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 159531
73.3%
1 20699
 
9.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 159531
73.3%
1 20699
 
9.5%
ValueCountFrequency (%)
1 20699
 
9.5%
0 159531
73.3%

IN_COMPUTADOR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8466404039
Minimum0
Maximum1
Zeros27640
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.326581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.360334776
Coefficient of variation (CV)0.4256054569
Kurtosis1.70184179
Mean0.8466404039
Median Absolute Deviation (MAD)0
Skewness-1.924012189
Sum152590
Variance0.1298411508
MonotonicityNot monotonic
2025-05-20T09:10:58.346802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 152590
70.1%
0 27640
 
12.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 27640
 
12.7%
1 152590
70.1%
ValueCountFrequency (%)
1 152590
70.1%
0 27640
 
12.7%

IN_EQUIP_COPIADORA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4015313766
Minimum0
Maximum1
Zeros107862
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.366125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4902094078
Coefficient of variation (CV)1.220849569
Kurtosis-1.838620942
Mean0.4015313766
Median Absolute Deviation (MAD)0
Skewness0.4017455176
Sum72368
Variance0.2403052635
MonotonicityNot monotonic
2025-05-20T09:10:58.385385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 107862
49.6%
1 72368
33.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 107862
49.6%
1 72368
33.3%
ValueCountFrequency (%)
1 72368
33.3%
0 107862
49.6%

IN_EQUIP_IMPRESSORA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.656050602
Minimum0
Maximum1
Zeros61990
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.405396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4750257484
Coefficient of variation (CV)0.7240687638
Kurtosis-1.568333132
Mean0.656050602
Median Absolute Deviation (MAD)0
Skewness-0.6570268422
Sum118240
Variance0.2256494616
MonotonicityNot monotonic
2025-05-20T09:10:58.425444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 118240
54.3%
0 61990
28.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 61990
28.5%
1 118240
54.3%
ValueCountFrequency (%)
1 118240
54.3%
0 61990
28.5%

IN_EQUIP_IMPRESSORA_MULT
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7088886423
Minimum0
Maximum1
Zeros52467
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.444867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4542759956
Coefficient of variation (CV)0.6408284298
Kurtosis-1.154228338
Mean0.7088886423
Median Absolute Deviation (MAD)0
Skewness-0.9196654121
Sum127763
Variance0.2063666801
MonotonicityNot monotonic
2025-05-20T09:10:58.465692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 127763
58.7%
0 52467
24.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 52467
24.1%
1 127763
58.7%
ValueCountFrequency (%)
1 127763
58.7%
0 52467
24.1%

IN_EQUIP_SCANNER
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2730621983
Minimum0
Maximum1
Zeros131016
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.486041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4455337648
Coefficient of variation (CV)1.631620076
Kurtosis-0.9621905908
Mean0.2730621983
Median Absolute Deviation (MAD)0
Skewness1.018734552
Sum49214
Variance0.1985003355
MonotonicityNot monotonic
2025-05-20T09:10:58.505927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 131016
60.2%
1 49214
 
22.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 131016
60.2%
1 49214
 
22.6%
ValueCountFrequency (%)
1 49214
 
22.6%
0 131016
60.2%

IN_EQUIP_NENHUM
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.08714975309
Minimum0
Maximum1
Zeros164523
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.526064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2820551631
Coefficient of variation (CV)3.236442481
Kurtosis6.57018731
Mean0.08714975309
Median Absolute Deviation (MAD)0
Skewness2.927475773
Sum15707
Variance0.07955511504
MonotonicityNot monotonic
2025-05-20T09:10:58.545538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 164523
75.6%
1 15707
 
7.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 164523
75.6%
1 15707
 
7.2%
ValueCountFrequency (%)
1 15707
 
7.2%
0 164523
75.6%

IN_EQUIP_DVD
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4419685957
Minimum0
Maximum1
Zeros100574
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.565414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4966223158
Coefficient of variation (CV)1.123659737
Kurtosis-1.94540264
Mean0.4419685957
Median Absolute Deviation (MAD)0
Skewness0.2337069699
Sum79656
Variance0.2466337246
MonotonicityNot monotonic
2025-05-20T09:10:58.584369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 100574
46.2%
1 79656
36.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 100574
46.2%
1 79656
36.6%
ValueCountFrequency (%)
1 79656
36.6%
0 100574
46.2%

QT_EQUIP_DVD
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct42
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean82.24621317
Minimum0
Maximum88888
Zeros100574
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.610001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum88888
Range88888
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2688.250337
Coefficient of variation (CV)32.68539953
Kurtosis1087.333344
Mean82.24621317
Median Absolute Deviation (MAD)0
Skewness33.00486141
Sum14823235
Variance7226689.875
MonotonicityNot monotonic
2025-05-20T09:10:58.639714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 100574
46.2%
1 46696
21.5%
2 17220
 
7.9%
3 6285
 
2.9%
4 3368
 
1.5%
5 2038
 
0.9%
6 1253
 
0.6%
8 630
 
0.3%
7 629
 
0.3%
10 521
 
0.2%
Other values (32) 1016
 
0.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 100574
46.2%
1 46696
21.5%
2 17220
 
7.9%
3 6285
 
2.9%
4 3368
 
1.5%
ValueCountFrequency (%)
88888 165
0.1%
74 1
 
< 0.1%
70 1
 
< 0.1%
61 1
 
< 0.1%
52 1
 
< 0.1%

IN_EQUIP_SOM
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7309160517
Minimum0
Maximum1
Zeros48497
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.661637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4434849133
Coefficient of variation (CV)0.6067521876
Kurtosis-0.9155335846
Mean0.7309160517
Median Absolute Deviation (MAD)0
Skewness-1.041382051
Sum131733
Variance0.1966788683
MonotonicityNot monotonic
2025-05-20T09:10:58.681214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 131733
60.5%
0 48497
 
22.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 48497
 
22.3%
1 131733
60.5%
ValueCountFrequency (%)
1 131733
60.5%
0 48497
 
22.3%

QT_EQUIP_SOM
Real number (ℝ)

Missing  Zeros 

Distinct74
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean603.1611385
Minimum0
Maximum88888
Zeros48497
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.709040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum88888
Range88888
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7285.332253
Coefficient of variation (CV)12.07858363
Kurtosis142.8614553
Mean603.1611385
Median Absolute Deviation (MAD)1
Skewness12.03577357
Sum108707732
Variance53076066.04
MonotonicityNot monotonic
2025-05-20T09:10:58.741166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 58249
26.8%
0 48497
22.3%
2 29090
13.4%
3 15059
 
6.9%
4 8940
 
4.1%
5 6049
 
2.8%
6 3692
 
1.7%
8 2098
 
1.0%
7 1908
 
0.9%
10 1490
 
0.7%
Other values (64) 5158
 
2.4%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 48497
22.3%
1 58249
26.8%
2 29090
13.4%
3 15059
 
6.9%
4 8940
 
4.1%
ValueCountFrequency (%)
88888 1219
0.6%
192 1
 
< 0.1%
140 1
 
< 0.1%
106 1
 
< 0.1%
101 1
 
< 0.1%

IN_EQUIP_TV
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7802696554
Minimum0
Maximum1
Zeros39602
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.763642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4140650571
Coefficient of variation (CV)0.5306691786
Kurtosis-0.1673303608
Mean0.7802696554
Median Absolute Deviation (MAD)0
Skewness-1.353761979
Sum140628
Variance0.1714498715
MonotonicityNot monotonic
2025-05-20T09:10:58.784744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 140628
64.6%
0 39602
 
18.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 39602
 
18.2%
1 140628
64.6%
ValueCountFrequency (%)
1 140628
64.6%
0 39602
 
18.2%

QT_EQUIP_TV
Real number (ℝ)

Missing  Zeros 

Distinct69
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean1177.917661
Minimum0
Maximum88888
Zeros39602
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.812528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile12
Maximum88888
Range88888
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10152.88585
Coefficient of variation (CV)8.619351072
Kurtosis70.64692843
Mean1177.917661
Median Absolute Deviation (MAD)1
Skewness8.523270127
Sum212296100
Variance103081091.1
MonotonicityNot monotonic
2025-05-20T09:10:58.844319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 54261
24.9%
0 39602
18.2%
2 29714
13.7%
3 15082
 
6.9%
4 9388
 
4.3%
5 6398
 
2.9%
6 4520
 
2.1%
7 3052
 
1.4%
8 2991
 
1.4%
88888 2383
 
1.1%
Other values (59) 12839
 
5.9%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 39602
18.2%
1 54261
24.9%
2 29714
13.7%
3 15082
 
6.9%
4 9388
 
4.3%
ValueCountFrequency (%)
88888 2383
1.1%
131 1
 
< 0.1%
112 1
 
< 0.1%
90 1
 
< 0.1%
81 1
 
< 0.1%

IN_EQUIP_LOUSA_DIGITAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1384397714
Minimum0
Maximum1
Zeros155279
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.866482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3453619303
Coefficient of variation (CV)2.494672786
Kurtosis2.384142174
Mean0.1384397714
Median Absolute Deviation (MAD)0
Skewness2.093828006
Sum24951
Variance0.1192748629
MonotonicityNot monotonic
2025-05-20T09:10:58.886419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 155279
71.4%
1 24951
 
11.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 155279
71.4%
1 24951
 
11.5%
ValueCountFrequency (%)
1 24951
 
11.5%
0 155279
71.4%

QT_EQUIP_LOUSA_DIGITAL
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct60
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean33.92595572
Minimum0
Maximum88888
Zeros155279
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.914054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1726.241993
Coefficient of variation (CV)50.88263414
Kurtosis2645.508448
Mean33.92595572
Median Absolute Deviation (MAD)0
Skewness51.45362789
Sum6114475
Variance2979911.419
MonotonicityNot monotonic
2025-05-20T09:10:58.947607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 155279
71.4%
1 16219
 
7.5%
2 2907
 
1.3%
3 1289
 
0.6%
4 664
 
0.3%
5 551
 
0.3%
6 455
 
0.2%
8 385
 
0.2%
7 332
 
0.2%
10 331
 
0.2%
Other values (50) 1818
 
0.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 155279
71.4%
1 16219
 
7.5%
2 2907
 
1.3%
3 1289
 
0.6%
4 664
 
0.3%
ValueCountFrequency (%)
88888 68
< 0.1%
128 1
 
< 0.1%
98 1
 
< 0.1%
75 1
 
< 0.1%
72 1
 
< 0.1%

IN_EQUIP_MULTIMIDIA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6156522222
Minimum0
Maximum1
Zeros69271
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:58.971808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4864420586
Coefficient of variation (CV)0.7901247509
Kurtosis-1.773911982
Mean0.6156522222
Median Absolute Deviation (MAD)0
Skewness-0.475507837
Sum110959
Variance0.2366258764
MonotonicityNot monotonic
2025-05-20T09:10:58.991827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 110959
51.0%
0 69271
31.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 69271
31.8%
1 110959
51.0%
ValueCountFrequency (%)
1 110959
51.0%
0 69271
31.8%

QT_EQUIP_MULTIMIDIA
Real number (ℝ)

Missing  Zeros 

Distinct95
Distinct (%)0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean488.5943794
Minimum0
Maximum88888
Zeros69271
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.019950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum88888
Range88888
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6559.762328
Coefficient of variation (CV)13.42578344
Kurtosis177.6141836
Mean488.5943794
Median Absolute Deviation (MAD)1
Skewness13.40194556
Sum88059365
Variance43030481.8
MonotonicityNot monotonic
2025-05-20T09:10:59.051810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69271
31.8%
1 58952
27.1%
2 21174
 
9.7%
3 8672
 
4.0%
4 4798
 
2.2%
5 3097
 
1.4%
6 2197
 
1.0%
8 1500
 
0.7%
7 1397
 
0.6%
10 1241
 
0.6%
Other values (85) 7931
 
3.6%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 69271
31.8%
1 58952
27.1%
2 21174
 
9.7%
3 8672
 
4.0%
4 4798
 
2.2%
ValueCountFrequency (%)
88888 987
0.5%
178 1
 
< 0.1%
160 1
 
< 0.1%
128 1
 
< 0.1%
116 1
 
< 0.1%

IN_DESKTOP_ALUNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4725572879
Minimum0
Maximum1
Zeros95061
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.074290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4992477146
Coefficient of variation (CV)1.056480827
Kurtosis-1.987935812
Mean0.4725572879
Median Absolute Deviation (MAD)0
Skewness0.1099374752
Sum85169
Variance0.2492482805
MonotonicityNot monotonic
2025-05-20T09:10:59.093220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 95061
43.7%
1 85169
39.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 95061
43.7%
1 85169
39.1%
ValueCountFrequency (%)
1 85169
39.1%
0 95061
43.7%

QT_DESKTOP_ALUNO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct367
Distinct (%)0.2%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean119.6386062
Minimum0
Maximum88888
Zeros95061
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.119716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile27
Maximum88888
Range88888
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3173.184938
Coefficient of variation (CV)26.52308513
Kurtosis778.5717812
Mean119.6386062
Median Absolute Deviation (MAD)0
Skewness27.93802713
Sum21562466
Variance10069102.65
MonotonicityNot monotonic
2025-05-20T09:10:59.151782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95061
43.7%
1 17122
 
7.9%
2 8531
 
3.9%
10 6107
 
2.8%
3 5026
 
2.3%
5 4329
 
2.0%
4 3757
 
1.7%
20 3403
 
1.6%
6 2841
 
1.3%
15 2596
 
1.2%
Other values (357) 31457
 
14.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 95061
43.7%
1 17122
 
7.9%
2 8531
 
3.9%
3 5026
 
2.3%
4 3757
 
1.7%
ValueCountFrequency (%)
88888 230
0.1%
1485 1
 
< 0.1%
1400 1
 
< 0.1%
1246 1
 
< 0.1%
1155 1
 
< 0.1%

IN_COMP_PORTATIL_ALUNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4020029962
Minimum0
Maximum1
Zeros107777
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.175384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4903039069
Coefficient of variation (CV)1.21965237
Kurtosis-1.840224931
Mean0.4020029962
Median Absolute Deviation (MAD)0
Skewness0.3997442808
Sum72453
Variance0.2403979211
MonotonicityNot monotonic
2025-05-20T09:10:59.194633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 107777
49.5%
1 72453
33.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 107777
49.5%
1 72453
33.3%
ValueCountFrequency (%)
1 72453
33.3%
0 107777
49.5%

QT_COMP_PORTATIL_ALUNO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct449
Distinct (%)0.2%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean47.09180492
Minimum0
Maximum88888
Zeros107777
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.222152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile36
Maximum88888
Range88888
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1895.622879
Coefficient of variation (CV)40.25377413
Kurtosis2192.067206
Mean47.09180492
Median Absolute Deviation (MAD)0
Skewness46.83572879
Sum8487356
Variance3593386.098
MonotonicityNot monotonic
2025-05-20T09:10:59.254122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107777
49.5%
1 21090
 
9.7%
2 12724
 
5.8%
3 6407
 
2.9%
4 3579
 
1.6%
5 2719
 
1.2%
6 1643
 
0.8%
30 1598
 
0.7%
10 1501
 
0.7%
15 1311
 
0.6%
Other values (439) 19881
 
9.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 107777
49.5%
1 21090
 
9.7%
2 12724
 
5.8%
3 6407
 
2.9%
4 3579
 
1.6%
ValueCountFrequency (%)
88888 82
< 0.1%
1500 1
 
< 0.1%
1399 1
 
< 0.1%
1200 1
 
< 0.1%
1000 1
 
< 0.1%

IN_TABLET_ALUNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1723242523
Minimum0
Maximum1
Zeros149172
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.276426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3776630718
Coefficient of variation (CV)2.191583986
Kurtosis1.011277674
Mean0.1723242523
Median Absolute Deviation (MAD)0
Skewness1.735300104
Sum31058
Variance0.1426293958
MonotonicityNot monotonic
2025-05-20T09:10:59.296911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149172
68.5%
1 31058
 
14.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 149172
68.5%
1 31058
 
14.3%
ValueCountFrequency (%)
1 31058
 
14.3%
0 149172
68.5%

QT_TABLET_ALUNO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct581
Distinct (%)0.3%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean47.36543306
Minimum0
Maximum88888
Zeros149172
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.324837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1930.098057
Coefficient of variation (CV)40.74908497
Kurtosis2114.082692
Mean47.36543306
Median Absolute Deviation (MAD)0
Skewness45.99350101
Sum8536672
Variance3725278.508
MonotonicityNot monotonic
2025-05-20T09:10:59.357432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149172
68.5%
1 7075
 
3.3%
2 2980
 
1.4%
10 1306
 
0.6%
3 1262
 
0.6%
30 1180
 
0.5%
20 1064
 
0.5%
5 1010
 
0.5%
4 994
 
0.5%
6 743
 
0.3%
Other values (571) 13444
 
6.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 149172
68.5%
1 7075
 
3.3%
2 2980
 
1.4%
3 1262
 
0.6%
4 994
 
0.5%
ValueCountFrequency (%)
88888 85
< 0.1%
2038 1
 
< 0.1%
1815 1
 
< 0.1%
1367 1
 
< 0.1%
1345 1
 
< 0.1%

IN_INTERNET
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9091438717
Minimum0
Maximum1
Zeros16375
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.381335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2874052027
Coefficient of variation (CV)0.3161273058
Kurtosis6.106550832
Mean0.9091438717
Median Absolute Deviation (MAD)0
Skewness-2.847188625
Sum163855
Variance0.08260175055
MonotonicityNot monotonic
2025-05-20T09:10:59.401329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 163855
75.3%
0 16375
 
7.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 16375
 
7.5%
1 163855
75.3%
ValueCountFrequency (%)
1 163855
75.3%
0 16375
 
7.5%

IN_INTERNET_ALUNOS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4054929812
Minimum0
Maximum1
Zeros107148
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.421026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4909885548
Coefficient of variation (CV)1.210843535
Kurtosis-1.851818223
Mean0.4054929812
Median Absolute Deviation (MAD)0
Skewness0.3849705523
Sum73082
Variance0.241069761
MonotonicityNot monotonic
2025-05-20T09:10:59.440344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 107148
49.2%
1 73082
33.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 107148
49.2%
1 73082
33.6%
ValueCountFrequency (%)
1 73082
33.6%
0 107148
49.2%

IN_INTERNET_ADMINISTRATIVO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8786273095
Minimum0
Maximum1
Zeros21875
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.459335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.326560794
Coefficient of variation (CV)0.3716715727
Kurtosis3.377351691
Mean0.8786273095
Median Absolute Deviation (MAD)0
Skewness-2.318903666
Sum158355
Variance0.1066419522
MonotonicityNot monotonic
2025-05-20T09:10:59.479148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 158355
72.8%
0 21875
 
10.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 21875
 
10.1%
1 158355
72.8%
ValueCountFrequency (%)
1 158355
72.8%
0 21875
 
10.1%

IN_INTERNET_APRENDIZAGEM
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6332353104
Minimum0
Maximum1
Zeros66102
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.498009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4819228576
Coefficient of variation (CV)0.7610486176
Kurtosis-1.694278101
Mean0.6332353104
Median Absolute Deviation (MAD)0
Skewness-0.5529382425
Sum114128
Variance0.2322496407
MonotonicityNot monotonic
2025-05-20T09:10:59.518264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 114128
52.4%
0 66102
30.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 66102
30.4%
1 114128
52.4%
ValueCountFrequency (%)
1 114128
52.4%
0 66102
30.4%

IN_INTERNET_COMUNIDADE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.05455251623
Minimum0
Maximum1
Zeros170398
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.536023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2271053178
Coefficient of variation (CV)4.163058526
Kurtosis13.38906507
Mean0.05455251623
Median Absolute Deviation (MAD)0
Skewness3.92287095
Sum9832
Variance0.05157682537
MonotonicityNot monotonic
2025-05-20T09:10:59.556568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 170398
78.3%
1 9832
 
4.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 170398
78.3%
1 9832
 
4.5%
ValueCountFrequency (%)
1 9832
 
4.5%
0 170398
78.3%

IN_ACESSO_INTERNET_COMPUTADOR
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6233978805
Minimum0
Maximum9
Zeros118411
Zeros (%)54.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.575511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.660832231
Coefficient of variation (CV)2.664160856
Kurtosis19.69516937
Mean0.6233978805
Median Absolute Deviation (MAD)0
Skewness4.465788753
Sum112355
Variance2.758363699
MonotonicityNot monotonic
2025-05-20T09:10:59.595120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 118411
54.4%
1 55502
25.5%
9 6317
 
2.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 118411
54.4%
1 55502
25.5%
9 6317
 
2.9%
ValueCountFrequency (%)
9 6317
 
2.9%
1 55502
25.5%
0 118411
54.4%

IN_ACES_INTERNET_DISP_PESSOAIS
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4880153138
Minimum0
Maximum9
Zeros142811
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.614092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.665366983
Coefficient of variation (CV)3.412530172
Kurtosis20.92860272
Mean0.4880153138
Median Absolute Deviation (MAD)0
Skewness4.665159157
Sum87955
Variance2.773447187
MonotonicityNot monotonic
2025-05-20T09:10:59.634026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 142811
65.6%
1 31102
 
14.3%
9 6317
 
2.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 142811
65.6%
1 31102
 
14.3%
9 6317
 
2.9%
ValueCountFrequency (%)
9 6317
 
2.9%
1 31102
 
14.3%
0 142811
65.6%

TP_REDE_LOCAL
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean3.07084836
Minimum0
Maximum9
Zeros18109
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.652246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.718088058
Coefficient of variation (CV)0.8851261082
Kurtosis0.7265052972
Mean3.07084836
Median Absolute Deviation (MAD)1
Skewness1.362813553
Sum553459
Variance7.388002693
MonotonicityNot monotonic
2025-05-20T09:10:59.670381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 68589
31.5%
1 34098
15.7%
2 31616
14.5%
9 27818
12.8%
0 18109
 
8.3%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 18109
 
8.3%
1 34098
15.7%
2 31616
14.5%
3 68589
31.5%
9 27818
12.8%
ValueCountFrequency (%)
9 27818
12.8%
3 68589
31.5%
2 31616
14.5%
1 34098
15.7%
0 18109
 
8.3%

IN_BANDA_LARGA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing53770
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean0.8666564951
Minimum0
Maximum1
Zeros21849
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.689749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3399466427
Coefficient of variation (CV)0.3922507299
Kurtosis2.653405172
Mean0.8666564951
Median Absolute Deviation (MAD)0
Skewness-2.157167769
Sum142006
Variance0.1155637199
MonotonicityNot monotonic
2025-05-20T09:10:59.709702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 142006
65.3%
0 21849
 
10.0%
(Missing) 53770
 
24.7%
ValueCountFrequency (%)
0 21849
 
10.0%
1 142006
65.3%
ValueCountFrequency (%)
1 142006
65.3%
0 21849
 
10.0%

IN_PROF_ADMINISTRATIVOS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.604216834
Minimum0
Maximum1
Zeros71332
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.729288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4890196094
Coefficient of variation (CV)0.8093445628
Kurtosis-1.818346155
Mean0.604216834
Median Absolute Deviation (MAD)0
Skewness-0.4262323577
Sum108898
Variance0.2391401784
MonotonicityNot monotonic
2025-05-20T09:10:59.748083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 108898
50.0%
0 71332
32.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 71332
32.8%
1 108898
50.0%
ValueCountFrequency (%)
1 108898
50.0%
0 71332
32.8%

QT_PROF_ADMINISTRATIVOS
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct82
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean180.0735782
Minimum0
Maximum88888
Zeros71332
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.774961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum88888
Range88888
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3979.615077
Coefficient of variation (CV)22.09993891
Kurtosis492.8881788
Mean180.0735782
Median Absolute Deviation (MAD)1
Skewness22.24595409
Sum32454661
Variance15837336.16
MonotonicityNot monotonic
2025-05-20T09:10:59.956215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71332
32.8%
1 48748
22.4%
2 25260
 
11.6%
3 12959
 
6.0%
4 7663
 
3.5%
5 4676
 
2.1%
6 3009
 
1.4%
7 1875
 
0.9%
8 1278
 
0.6%
9 809
 
0.4%
Other values (72) 2621
 
1.2%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 71332
32.8%
1 48748
22.4%
2 25260
 
11.6%
3 12959
 
6.0%
4 7663
 
3.5%
ValueCountFrequency (%)
88888 362
0.2%
280 1
 
< 0.1%
137 1
 
< 0.1%
119 1
 
< 0.1%
111 1
 
< 0.1%

IN_PROF_SERVICOS_GERAIS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8810297953
Minimum0
Maximum1
Zeros21442
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:10:59.979045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3237543462
Coefficient of variation (CV)0.3674726416
Kurtosis3.540632816
Mean0.8810297953
Median Absolute Deviation (MAD)0
Skewness-2.353846538
Sum158788
Variance0.1048168767
MonotonicityNot monotonic
2025-05-20T09:10:59.998869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 158788
73.0%
0 21442
 
9.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 21442
 
9.9%
1 158788
73.0%
ValueCountFrequency (%)
1 158788
73.0%
0 21442
 
9.9%

QT_PROF_SERVICOS_GERAIS
Real number (ℝ)

Missing  Zeros 

Distinct86
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean328.0021029
Minimum0
Maximum88888
Zeros21442
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.026728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile12
Maximum88888
Range88888
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5356.746733
Coefficient of variation (CV)16.33144021
Kurtosis269.3334782
Mean328.0021029
Median Absolute Deviation (MAD)2
Skewness16.47210689
Sum59115819
Variance28694735.56
MonotonicityNot monotonic
2025-05-20T09:11:00.059191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 31822
14.6%
2 29109
13.4%
3 22369
10.3%
0 21442
9.9%
4 18248
8.4%
5 13080
 
6.0%
6 10892
 
5.0%
7 7241
 
3.3%
8 6334
 
2.9%
9 4057
 
1.9%
Other values (76) 15636
7.2%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 21442
9.9%
1 31822
14.6%
2 29109
13.4%
3 22369
10.3%
4 18248
8.4%
ValueCountFrequency (%)
88888 657
0.3%
130 1
 
< 0.1%
125 1
 
< 0.1%
100 1
 
< 0.1%
97 1
 
< 0.1%

IN_PROF_BIBLIOTECARIO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.217461022
Minimum0
Maximum1
Zeros141037
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.082155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4125199027
Coefficient of variation (CV)1.896983187
Kurtosis-0.1235532731
Mean0.217461022
Median Absolute Deviation (MAD)0
Skewness1.369835062
Sum39193
Variance0.1701726701
MonotonicityNot monotonic
2025-05-20T09:11:00.102673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 141037
64.8%
1 39193
 
18.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 141037
64.8%
1 39193
 
18.0%
ValueCountFrequency (%)
1 39193
 
18.0%
0 141037
64.8%

QT_PROF_BIBLIOTECARIO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct19
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean100.455579
Minimum0
Maximum88888
Zeros141037
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.126162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2981.483857
Coefficient of variation (CV)29.67962444
Kurtosis882.8580378
Mean100.455579
Median Absolute Deviation (MAD)0
Skewness29.74639771
Sum18105109
Variance8889245.989
MonotonicityNot monotonic
2025-05-20T09:11:00.150373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 141037
64.8%
1 25255
 
11.6%
2 9054
 
4.2%
3 3000
 
1.4%
4 905
 
0.4%
5 371
 
0.2%
88888 203
 
0.1%
6 185
 
0.1%
7 80
 
< 0.1%
8 53
 
< 0.1%
Other values (9) 87
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 141037
64.8%
1 25255
 
11.6%
2 9054
 
4.2%
3 3000
 
1.4%
4 905
 
0.4%
ValueCountFrequency (%)
88888 203
0.1%
22 1
 
< 0.1%
18 1
 
< 0.1%
15 2
 
< 0.1%
14 1
 
< 0.1%

IN_PROF_SAUDE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.04033734672
Minimum0
Maximum1
Zeros172960
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.170045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1967497394
Coefficient of variation (CV)4.877607364
Kurtosis19.83353795
Mean0.04033734672
Median Absolute Deviation (MAD)0
Skewness4.6726136
Sum7270
Variance0.03871045997
MonotonicityNot monotonic
2025-05-20T09:11:00.190513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 172960
79.5%
1 7270
 
3.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 172960
79.5%
1 7270
 
3.3%
ValueCountFrequency (%)
1 7270
 
3.3%
0 172960
79.5%

QT_PROF_SAUDE
Real number (ℝ)

Missing  Zeros 

Distinct48
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean305.3877656
Minimum0
Maximum88888
Zeros172960
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.219271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5200.301874
Coefficient of variation (CV)17.02852065
Kurtosis286.1745645
Mean305.3877656
Median Absolute Deviation (MAD)0
Skewness16.97561128
Sum55040037
Variance27043139.58
MonotonicityNot monotonic
2025-05-20T09:11:00.251890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 172960
79.5%
1 4047
 
1.9%
2 986
 
0.5%
88888 619
 
0.3%
3 435
 
0.2%
4 234
 
0.1%
5 220
 
0.1%
6 138
 
0.1%
10 103
 
< 0.1%
8 78
 
< 0.1%
Other values (38) 410
 
0.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 172960
79.5%
1 4047
 
1.9%
2 986
 
0.5%
3 435
 
0.2%
4 234
 
0.1%
ValueCountFrequency (%)
88888 619
0.3%
67 1
 
< 0.1%
65 1
 
< 0.1%
60 1
 
< 0.1%
56 1
 
< 0.1%

IN_PROF_COORDENADOR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2973256395
Minimum0
Maximum1
Zeros126643
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.275206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.457082337
Coefficient of variation (CV)1.537312214
Kurtosis-1.213550324
Mean0.2973256395
Median Absolute Deviation (MAD)0
Skewness0.8868275723
Sum53587
Variance0.2089242628
MonotonicityNot monotonic
2025-05-20T09:11:00.295285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 126643
58.2%
1 53587
24.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 126643
58.2%
1 53587
24.6%
ValueCountFrequency (%)
1 53587
24.6%
0 126643
58.2%

QT_PROF_COORDENADOR
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct39
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean72.55869167
Minimum0
Maximum88888
Zeros126643
Zeros (%)58.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.321088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum88888
Range88888
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2528.882203
Coefficient of variation (CV)34.85291899
Kurtosis1229.4864
Mean72.55869167
Median Absolute Deviation (MAD)0
Skewness35.09234178
Sum13077253
Variance6395245.195
MonotonicityNot monotonic
2025-05-20T09:11:00.350283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 126643
58.2%
1 30319
 
13.9%
2 13388
 
6.2%
3 4624
 
2.1%
4 2492
 
1.1%
5 1018
 
0.5%
6 601
 
0.3%
7 319
 
0.1%
8 228
 
0.1%
88888 146
 
0.1%
Other values (29) 452
 
0.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 126643
58.2%
1 30319
 
13.9%
2 13388
 
6.2%
3 4624
 
2.1%
4 2492
 
1.1%
ValueCountFrequency (%)
88888 146
0.1%
67 1
 
< 0.1%
62 1
 
< 0.1%
58 1
 
< 0.1%
50 1
 
< 0.1%

IN_PROF_FONAUDIOLOGO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.03693613716
Minimum0
Maximum1
Zeros173573
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.371474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1886055574
Coefficient of variation (CV)5.106261021
Kurtosis22.11275643
Mean0.03693613716
Median Absolute Deviation (MAD)0
Skewness4.91044917
Sum6657
Variance0.0355720563
MonotonicityNot monotonic
2025-05-20T09:11:00.392047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173573
79.8%
1 6657
 
3.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173573
79.8%
1 6657
 
3.1%
ValueCountFrequency (%)
1 6657
 
3.1%
0 173573
79.8%

QT_PROF_FONAUDIOLOGO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean14.34261777
Minimum0
Maximum88888
Zeros173573
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.412583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1127.443187
Coefficient of variation (CV)78.60790865
Kurtosis6209.999583
Mean14.34261777
Median Absolute Deviation (MAD)0
Skewness78.81580066
Sum2584970
Variance1271128.14
MonotonicityNot monotonic
2025-05-20T09:11:00.434419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 173573
79.8%
1 6202
 
2.8%
2 334
 
0.2%
3 60
 
< 0.1%
88888 29
 
< 0.1%
4 16
 
< 0.1%
5 6
 
< 0.1%
6 5
 
< 0.1%
7 2
 
< 0.1%
11 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173573
79.8%
1 6202
 
2.8%
2 334
 
0.2%
3 60
 
< 0.1%
4 16
 
< 0.1%
ValueCountFrequency (%)
88888 29
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
7 2
 
< 0.1%

IN_PROF_NUTRICIONISTA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2096487821
Minimum0
Maximum1
Zeros142445
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.453134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4070590739
Coefficient of variation (CV)1.941623842
Kurtosis0.03517677078
Mean0.2096487821
Median Absolute Deviation (MAD)0
Skewness1.426596082
Sum37785
Variance0.1656970896
MonotonicityNot monotonic
2025-05-20T09:11:00.473707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142445
65.5%
1 37785
 
17.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 142445
65.5%
1 37785
 
17.4%
ValueCountFrequency (%)
1 37785
 
17.4%
0 142445
65.5%

QT_PROF_NUTRICIONISTA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean8.114398269
Minimum0
Maximum88888
Zeros142445
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.494522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation837.4723627
Coefficient of variation (CV)103.2081905
Kurtosis11259.68086
Mean8.114398269
Median Absolute Deviation (MAD)0
Skewness106.1204627
Sum1462458
Variance701359.9583
MonotonicityNot monotonic
2025-05-20T09:11:00.514152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 142445
65.5%
1 35600
 
16.4%
2 1935
 
0.9%
3 184
 
0.1%
4 38
 
< 0.1%
88888 16
 
< 0.1%
5 10
 
< 0.1%
13 2
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 142445
65.5%
1 35600
 
16.4%
2 1935
 
0.9%
3 184
 
0.1%
4 38
 
< 0.1%
ValueCountFrequency (%)
88888 16
 
< 0.1%
13 2
 
< 0.1%
5 10
 
< 0.1%
4 38
 
< 0.1%
3 184
0.1%

IN_PROF_PSICOLOGO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1449314764
Minimum0
Maximum1
Zeros154109
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.532402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3520327132
Coefficient of variation (CV)2.428959684
Kurtosis2.069400026
Mean0.1449314764
Median Absolute Deviation (MAD)0
Skewness2.017269705
Sum26121
Variance0.1239270312
MonotonicityNot monotonic
2025-05-20T09:11:00.551989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 154109
70.8%
1 26121
 
12.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 154109
70.8%
1 26121
 
12.0%
ValueCountFrequency (%)
1 26121
 
12.0%
0 154109
70.8%

QT_PROF_PSICOLOGO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct14
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean33.6985463
Minimum0
Maximum88888
Zeros154109
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.573157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1726.245402
Coefficient of variation (CV)51.22610887
Kurtosis2645.514644
Mean33.6985463
Median Absolute Deviation (MAD)0
Skewness51.45371822
Sum6073489
Variance2979923.186
MonotonicityNot monotonic
2025-05-20T09:11:00.595085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 154109
70.8%
1 23903
 
11.0%
2 1617
 
0.7%
3 339
 
0.2%
4 113
 
0.1%
88888 68
 
< 0.1%
5 39
 
< 0.1%
6 26
 
< 0.1%
8 7
 
< 0.1%
7 5
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 154109
70.8%
1 23903
 
11.0%
2 1617
 
0.7%
3 339
 
0.2%
4 113
 
0.1%
ValueCountFrequency (%)
88888 68
< 0.1%
21 1
 
< 0.1%
15 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%

IN_PROF_ALIMENTACAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.674083116
Minimum0
Maximum1
Zeros58740
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.613997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4687177058
Coefficient of variation (CV)0.6953411154
Kurtosis-1.448243364
Mean0.674083116
Median Absolute Deviation (MAD)0
Skewness-0.7428140464
Sum121490
Variance0.2196962877
MonotonicityNot monotonic
2025-05-20T09:11:00.633497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 121490
55.8%
0 58740
27.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 58740
27.0%
1 121490
55.8%
ValueCountFrequency (%)
1 121490
55.8%
0 58740
27.0%

QT_PROF_ALIMENTACAO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct39
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean64.38610109
Minimum0
Maximum88888
Zeros58740
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.659722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum88888
Range88888
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2358.691693
Coefficient of variation (CV)36.63355371
Kurtosis1414.171915
Mean64.38610109
Median Absolute Deviation (MAD)1
Skewness37.63183842
Sum11604307
Variance5563426.502
MonotonicityNot monotonic
2025-05-20T09:11:00.688746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 58740
27.0%
2 38413
17.7%
1 35494
16.3%
3 19764
 
9.1%
4 14129
 
6.5%
5 5622
 
2.6%
6 3924
 
1.8%
7 1433
 
0.7%
8 1103
 
0.5%
9 500
 
0.2%
Other values (29) 1108
 
0.5%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 58740
27.0%
1 35494
16.3%
2 38413
17.7%
3 19764
 
9.1%
4 14129
 
6.5%
ValueCountFrequency (%)
88888 127
0.1%
50 1
 
< 0.1%
47 1
 
< 0.1%
42 1
 
< 0.1%
39 1
 
< 0.1%

IN_PROF_PEDAGOGIA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6694556955
Minimum0
Maximum1
Zeros59574
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.709762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4704104538
Coefficient of variation (CV)0.7026760053
Kurtosis-1.480943909
Mean0.6694556955
Median Absolute Deviation (MAD)0
Skewness-0.7204668799
Sum120656
Variance0.2212859951
MonotonicityNot monotonic
2025-05-20T09:11:00.729743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 120656
55.4%
0 59574
27.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 59574
27.4%
1 120656
55.4%
ValueCountFrequency (%)
1 120656
55.4%
0 59574
27.4%

QT_PROF_PEDAGOGIA
Real number (ℝ)

Missing  Zeros 

Distinct74
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean359.0410476
Minimum0
Maximum88888
Zeros59574
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.756418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum88888
Range88888
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5626.228137
Coefficient of variation (CV)15.67015297
Kurtosis243.6038247
Mean359.0410476
Median Absolute Deviation (MAD)1
Skewness15.67166444
Sum64709968
Variance31654443.05
MonotonicityNot monotonic
2025-05-20T09:11:00.788756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 64100
29.5%
0 59574
27.4%
2 27886
12.8%
3 11607
 
5.3%
4 6297
 
2.9%
5 3214
 
1.5%
6 1886
 
0.9%
7 1244
 
0.6%
8 929
 
0.4%
88888 725
 
0.3%
Other values (64) 2768
 
1.3%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 59574
27.4%
1 64100
29.5%
2 27886
12.8%
3 11607
 
5.3%
4 6297
 
2.9%
ValueCountFrequency (%)
88888 725
0.3%
247 1
 
< 0.1%
216 1
 
< 0.1%
173 1
 
< 0.1%
103 1
 
< 0.1%

IN_PROF_SECRETARIO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5767352827
Minimum0
Maximum1
Zeros76285
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.811465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4940779805
Coefficient of variation (CV)0.856680691
Kurtosis-1.903534118
Mean0.5767352827
Median Absolute Deviation (MAD)0
Skewness-0.3106235746
Sum103945
Variance0.2441130508
MonotonicityNot monotonic
2025-05-20T09:11:00.830389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 103945
47.8%
0 76285
35.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 76285
35.1%
1 103945
47.8%
ValueCountFrequency (%)
1 103945
47.8%
0 76285
35.1%

QT_PROF_SECRETARIO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean22.33067192
Minimum0
Maximum88888
Zeros76285
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.851623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum88888
Range88888
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1388.676491
Coefficient of variation (CV)62.18695506
Kurtosis4091.248399
Mean22.33067192
Median Absolute Deviation (MAD)0
Skewness63.97813789
Sum4024657
Variance1928422.397
MonotonicityNot monotonic
2025-05-20T09:11:00.874734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 96919
44.5%
0 76285
35.1%
2 5484
 
2.5%
3 983
 
0.5%
4 303
 
0.1%
5 93
 
< 0.1%
88888 44
 
< 0.1%
6 38
 
< 0.1%
11 27
 
< 0.1%
7 16
 
< 0.1%
Other values (8) 38
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 76285
35.1%
1 96919
44.5%
2 5484
 
2.5%
3 983
 
0.5%
4 303
 
0.1%
ValueCountFrequency (%)
88888 44
< 0.1%
17 2
 
< 0.1%
16 2
 
< 0.1%
14 3
 
< 0.1%
13 5
 
< 0.1%

IN_PROF_SEGURANCA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2095267159
Minimum0
Maximum1
Zeros142467
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.894438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4069719771
Coefficient of variation (CV)1.942339312
Kurtosis0.03776030074
Mean0.2095267159
Median Absolute Deviation (MAD)0
Skewness1.427501272
Sum37763
Variance0.1656261902
MonotonicityNot monotonic
2025-05-20T09:11:00.914819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142467
65.5%
1 37763
 
17.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 142467
65.5%
1 37763
 
17.4%
ValueCountFrequency (%)
1 37763
 
17.4%
0 142467
65.5%

QT_PROF_SEGURANCA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct35
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean216.4847306
Minimum0
Maximum88888
Zeros142467
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.940546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4376.60372
Coefficient of variation (CV)20.21668553
Kurtosis406.4977013
Mean216.4847306
Median Absolute Deviation (MAD)0
Skewness20.21121368
Sum39017043
Variance19154660.12
MonotonicityNot monotonic
2025-05-20T09:11:00.968304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 142467
65.5%
1 14419
 
6.6%
2 12315
 
5.7%
4 4524
 
2.1%
3 4068
 
1.9%
6 642
 
0.3%
5 517
 
0.2%
88888 438
 
0.2%
8 407
 
0.2%
7 114
 
0.1%
Other values (25) 319
 
0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 142467
65.5%
1 14419
 
6.6%
2 12315
 
5.7%
3 4068
 
1.9%
4 4524
 
2.1%
ValueCountFrequency (%)
88888 438
0.2%
45 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
39 1
 
< 0.1%

IN_PROF_MONITORES
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1410641957
Minimum0
Maximum1
Zeros154806
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:00.989378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3480887253
Coefficient of variation (CV)2.467590897
Kurtosis2.253298213
Mean0.1410641957
Median Absolute Deviation (MAD)0
Skewness2.06234653
Sum25424
Variance0.1211657607
MonotonicityNot monotonic
2025-05-20T09:11:01.009498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 154806
71.1%
1 25424
 
11.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 154806
71.1%
1 25424
 
11.7%
ValueCountFrequency (%)
1 25424
 
11.7%
0 154806
71.1%

QT_PROF_MONITORES
Real number (ℝ)

Missing  Zeros 

Distinct63
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean486.1747656
Minimum0
Maximum88888
Zeros154806
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.037225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6553.254627
Coefficient of variation (CV)13.47921589
Kurtosis177.9850593
Mean486.1747656
Median Absolute Deviation (MAD)0
Skewness13.41577694
Sum87623278
Variance42945146.21
MonotonicityNot monotonic
2025-05-20T09:11:01.070108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 154806
71.1%
1 12331
 
5.7%
2 4919
 
2.3%
3 2160
 
1.0%
4 1351
 
0.6%
88888 985
 
0.5%
5 841
 
0.4%
6 671
 
0.3%
7 418
 
0.2%
8 388
 
0.2%
Other values (53) 1360
 
0.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 154806
71.1%
1 12331
 
5.7%
2 4919
 
2.3%
3 2160
 
1.0%
4 1351
 
0.6%
ValueCountFrequency (%)
88888 985
0.5%
160 1
 
< 0.1%
113 1
 
< 0.1%
84 1
 
< 0.1%
75 1
 
< 0.1%

IN_PROF_GESTAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4796204849
Minimum0
Maximum1
Zeros93788
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.094084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4995858887
Coefficient of variation (CV)1.041627504
Kurtosis-1.993365757
Mean0.4796204849
Median Absolute Deviation (MAD)0
Skewness0.08158653668
Sum86442
Variance0.2495860602
MonotonicityNot monotonic
2025-05-20T09:11:01.112904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 93788
43.1%
1 86442
39.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 93788
43.1%
1 86442
39.7%
ValueCountFrequency (%)
1 86442
39.7%
0 93788
43.1%

QT_PROF_GESTAO
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct31
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean12.01182933
Minimum0
Maximum88888
Zeros93788
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.136840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum88888
Range88888
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1004.069884
Coefficient of variation (CV)83.59008911
Kurtosis7831.289644
Mean12.01182933
Median Absolute Deviation (MAD)0
Skewness88.50534095
Sum2164892
Variance1008156.332
MonotonicityNot monotonic
2025-05-20T09:11:01.163853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 93788
43.1%
1 61743
28.4%
2 18183
 
8.4%
3 5014
 
2.3%
4 1111
 
0.5%
5 181
 
0.1%
6 71
 
< 0.1%
7 27
 
< 0.1%
88888 23
 
< 0.1%
8 21
 
< 0.1%
Other values (21) 68
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 93788
43.1%
1 61743
28.4%
2 18183
 
8.4%
3 5014
 
2.3%
4 1111
 
0.5%
ValueCountFrequency (%)
88888 23
< 0.1%
116 1
 
< 0.1%
91 1
 
< 0.1%
65 1
 
< 0.1%
62 1
 
< 0.1%

IN_PROF_ASSIST_SOCIAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.08257226877
Minimum0
Maximum1
Zeros165348
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.185596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2752353711
Coefficient of variation (CV)3.333266425
Kurtosis7.200840583
Mean0.08257226877
Median Absolute Deviation (MAD)0
Skewness3.033275569
Sum14882
Variance0.07575450952
MonotonicityNot monotonic
2025-05-20T09:11:01.205575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 165348
76.0%
1 14882
 
6.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 165348
76.0%
1 14882
 
6.8%
ValueCountFrequency (%)
1 14882
 
6.8%
0 165348
76.0%

QT_PROF_ASSIST_SOCIAL
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct13
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean9.463918327
Minimum0
Maximum88888
Zeros165348
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.227128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation912.6080186
Coefficient of variation (CV)96.43025089
Kurtosis9481.049961
Mean9.463918327
Median Absolute Deviation (MAD)0
Skewness97.38040569
Sum1705682
Variance832853.3956
MonotonicityNot monotonic
2025-05-20T09:11:01.248259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 165348
76.0%
1 13463
 
6.2%
2 1059
 
0.5%
3 228
 
0.1%
4 77
 
< 0.1%
88888 19
 
< 0.1%
5 15
 
< 0.1%
6 9
 
< 0.1%
7 5
 
< 0.1%
9 4
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 165348
76.0%
1 13463
 
6.2%
2 1059
 
0.5%
3 228
 
0.1%
4 77
 
< 0.1%
ValueCountFrequency (%)
88888 19
< 0.1%
16 1
 
< 0.1%
13 1
 
< 0.1%
9 4
 
< 0.1%
8 1
 
< 0.1%

IN_PROF_TRAD_LIBRAS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.02177772846
Minimum0
Maximum1
Zeros176305
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.267063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.14595745
Coefficient of variation (CV)6.702142983
Kurtosis40.941903
Mean0.02177772846
Median Absolute Deviation (MAD)0
Skewness6.552972506
Sum3925
Variance0.0213035772
MonotonicityNot monotonic
2025-05-20T09:11:01.287458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176305
81.0%
1 3925
 
1.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 176305
81.0%
1 3925
 
1.8%
ValueCountFrequency (%)
1 3925
 
1.8%
0 176305
81.0%

QT_PROF_TRAD_LIBRAS
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct14
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean13.34433779
Minimum0
Maximum88888
Zeros176305
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.309739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88888
Range88888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1087.877561
Coefficient of variation (CV)81.52353292
Kurtosis6670.369842
Mean13.34433779
Median Absolute Deviation (MAD)0
Skewness81.68412045
Sum2405050
Variance1183477.588
MonotonicityNot monotonic
2025-05-20T09:11:01.331287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 176305
81.0%
1 3157
 
1.5%
2 514
 
0.2%
3 128
 
0.1%
4 57
 
< 0.1%
88888 27
 
< 0.1%
5 20
 
< 0.1%
8 6
 
< 0.1%
6 6
 
< 0.1%
7 5
 
< 0.1%
Other values (4) 5
 
< 0.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 176305
81.0%
1 3157
 
1.5%
2 514
 
0.2%
3 128
 
0.1%
4 57
 
< 0.1%
ValueCountFrequency (%)
88888 27
< 0.1%
18 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
9 1
 
< 0.1%

IN_ALIMENTACAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8400488265
Minimum0
Maximum1
Zeros28828
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.350741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3665617835
Coefficient of variation (CV)0.4363577115
Kurtosis1.442388169
Mean0.8400488265
Median Absolute Deviation (MAD)0
Skewness-1.855363081
Sum151402
Variance0.1343675411
MonotonicityNot monotonic
2025-05-20T09:11:01.371216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 151402
69.6%
0 28828
 
13.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 28828
 
13.2%
1 151402
69.6%
ValueCountFrequency (%)
1 151402
69.6%
0 28828
 
13.2%

IN_MATERIAL_PED_MULTIMIDIA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.3632691561
Minimum0
Maximum1
Zeros114758
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.390389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4809427822
Coefficient of variation (CV)1.323929583
Kurtosis-1.676711094
Mean0.3632691561
Median Absolute Deviation (MAD)0
Skewness0.5686013651
Sum65472
Variance0.2313059597
MonotonicityNot monotonic
2025-05-20T09:11:01.410773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 114758
52.7%
1 65472
30.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 114758
52.7%
1 65472
30.1%
ValueCountFrequency (%)
1 65472
30.1%
0 114758
52.7%

IN_MATERIAL_PED_INFANTIL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5135049659
Minimum0
Maximum1
Zeros87681
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.429962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4998189692
Coefficient of variation (CV)0.9733478787
Kurtosis-1.997101837
Mean0.5135049659
Median Absolute Deviation (MAD)0
Skewness-0.05404002878
Sum92549
Variance0.249819002
MonotonicityNot monotonic
2025-05-20T09:11:01.449427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 92549
42.5%
0 87681
40.3%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 87681
40.3%
1 92549
42.5%
ValueCountFrequency (%)
1 92549
42.5%
0 87681
40.3%

IN_MATERIAL_PED_CIENTIFICO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1718415358
Minimum0
Maximum1
Zeros149259
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.466951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3772437037
Coefficient of variation (CV)2.195299884
Kurtosis1.026874997
Mean0.1718415358
Median Absolute Deviation (MAD)0
Skewness1.739788378
Sum30971
Variance0.142312812
MonotonicityNot monotonic
2025-05-20T09:11:01.487843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149259
68.6%
1 30971
 
14.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 149259
68.6%
1 30971
 
14.2%
ValueCountFrequency (%)
1 30971
 
14.2%
0 149259
68.6%

IN_MATERIAL_PED_DIFUSAO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.5128003107
Minimum0
Maximum1
Zeros87808
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.507314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4998375119
Coefficient of variation (CV)0.9747215464
Kurtosis-1.997398835
Mean0.5128003107
Median Absolute Deviation (MAD)0
Skewness-0.05121845582
Sum92422
Variance0.2498375383
MonotonicityNot monotonic
2025-05-20T09:11:01.527077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 92422
42.5%
0 87808
40.3%
(Missing) 37395
17.2%
ValueCountFrequency (%)
0 87808
40.3%
1 92422
42.5%
ValueCountFrequency (%)
1 92422
42.5%
0 87808
40.3%

IN_MATERIAL_PED_MUSICAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2467735671
Minimum0
Maximum1
Zeros135754
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.545320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4311350195
Coefficient of variation (CV)1.74708752
Kurtosis-0.6200640206
Mean0.2467735671
Median Absolute Deviation (MAD)0
Skewness1.174709692
Sum44476
Variance0.185877405
MonotonicityNot monotonic
2025-05-20T09:11:01.565738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 135754
62.4%
1 44476
 
20.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 135754
62.4%
1 44476
 
20.4%
ValueCountFrequency (%)
1 44476
 
20.4%
0 135754
62.4%

IN_MATERIAL_PED_JOGOS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7886034511
Minimum0
Maximum1
Zeros38100
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.586620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4083001016
Coefficient of variation (CV)0.517750843
Kurtosis-0.001456107519
Mean0.7886034511
Median Absolute Deviation (MAD)0
Skewness-1.413698663
Sum142130
Variance0.166708973
MonotonicityNot monotonic
2025-05-20T09:11:01.607397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 142130
65.3%
0 38100
 
17.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 38100
 
17.5%
1 142130
65.3%
ValueCountFrequency (%)
1 142130
65.3%
0 38100
 
17.5%

IN_MATERIAL_PED_ARTISTICAS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.4158908062
Minimum0
Maximum1
Zeros105274
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.627866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4928762435
Coefficient of variation (CV)1.185109736
Kurtosis-1.883533006
Mean0.4158908062
Median Absolute Deviation (MAD)0
Skewness0.3413032309
Sum74956
Variance0.2429269914
MonotonicityNot monotonic
2025-05-20T09:11:01.646515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 105274
48.4%
1 74956
34.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 105274
48.4%
1 74956
34.4%
ValueCountFrequency (%)
1 74956
34.4%
0 105274
48.4%

IN_MATERIAL_PED_PROFISSIONAL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.04959218776
Minimum0
Maximum1
Zeros171292
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.665363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2171015066
Coefficient of variation (CV)4.37773602
Kurtosis15.21710167
Mean0.04959218776
Median Absolute Deviation (MAD)0
Skewness4.1493292
Sum8938
Variance0.04713306419
MonotonicityNot monotonic
2025-05-20T09:11:01.685170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 171292
78.7%
1 8938
 
4.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 171292
78.7%
1 8938
 
4.1%
ValueCountFrequency (%)
1 8938
 
4.1%
0 171292
78.7%

IN_MATERIAL_PED_DESPORTIVA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6402374743
Minimum0
Maximum1
Zeros64840
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.704617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4799320043
Coefficient of variation (CV)0.7496156092
Kurtosis-1.658480924
Mean0.6402374743
Median Absolute Deviation (MAD)0
Skewness-0.5844120804
Sum115390
Variance0.2303347288
MonotonicityNot monotonic
2025-05-20T09:11:01.909233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 115390
53.0%
0 64840
29.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 64840
29.8%
1 115390
53.0%
ValueCountFrequency (%)
1 115390
53.0%
0 64840
29.8%

IN_MATERIAL_PED_INDIGENA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.03891693947
Minimum0
Maximum1
Zeros173216
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.928343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1933975667
Coefficient of variation (CV)4.969495787
Kurtosis20.73685272
Mean0.03891693947
Median Absolute Deviation (MAD)0
Skewness4.768293469
Sum7014
Variance0.03740261882
MonotonicityNot monotonic
2025-05-20T09:11:01.949349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173216
79.6%
1 7014
 
3.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173216
79.6%
1 7014
 
3.2%
ValueCountFrequency (%)
1 7014
 
3.2%
0 173216
79.6%

IN_MATERIAL_PED_ETNICO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1796371303
Minimum0
Maximum1
Zeros147854
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:01.969529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3838859849
Coefficient of variation (CV)2.137008002
Kurtosis0.7858057211
Mean0.1796371303
Median Absolute Deviation (MAD)0
Skewness1.6690707
Sum32376
Variance0.1473684494
MonotonicityNot monotonic
2025-05-20T09:11:01.990694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 147854
67.9%
1 32376
 
14.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 147854
67.9%
1 32376
 
14.9%
ValueCountFrequency (%)
1 32376
 
14.9%
0 147854
67.9%

IN_MATERIAL_PED_CAMPO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.09555013039
Minimum0
Maximum1
Zeros163009
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.010324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2939741187
Coefficient of variation (CV)3.076648012
Kurtosis5.5715428
Mean0.09555013039
Median Absolute Deviation (MAD)0
Skewness2.75163242
Sum17221
Variance0.08642078247
MonotonicityNot monotonic
2025-05-20T09:11:02.030567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 163009
74.9%
1 17221
 
7.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 163009
74.9%
1 17221
 
7.9%
ValueCountFrequency (%)
1 17221
 
7.9%
0 163009
74.9%

IN_MATERIAL_PED_BIL_SURDOS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01770515452
Minimum0
Maximum1
Zeros177039
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.049420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1318778925
Coefficient of variation (CV)7.448559249
Kurtosis51.50021334
Mean0.01770515452
Median Absolute Deviation (MAD)0
Skewness7.314344936
Sum3191
Variance0.01739177853
MonotonicityNot monotonic
2025-05-20T09:11:02.069803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177039
81.4%
1 3191
 
1.5%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 177039
81.4%
1 3191
 
1.5%
ValueCountFrequency (%)
1 3191
 
1.5%
0 177039
81.4%

IN_MATERIAL_PED_NENHUM
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.09740331798
Minimum0
Maximum1
Zeros162675
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.088955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2965069973
Coefficient of variation (CV)3.044115985
Kurtosis5.374687664
Mean0.09740331798
Median Absolute Deviation (MAD)0
Skewness2.715626635
Sum17555
Variance0.08791639943
MonotonicityNot monotonic
2025-05-20T09:11:02.109280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 162675
74.8%
1 17555
 
8.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 162675
74.8%
1 17555
 
8.1%
ValueCountFrequency (%)
1 17555
 
8.1%
0 162675
74.8%

IN_EDUCACAO_INDIGENA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.0201298341
Minimum0
Maximum1
Zeros176602
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.129220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1404447696
Coefficient of variation (CV)6.976946206
Kurtosis44.69932498
Mean0.0201298341
Median Absolute Deviation (MAD)0
Skewness6.833654144
Sum3628
Variance0.01972473332
MonotonicityNot monotonic
2025-05-20T09:11:02.151706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176602
81.1%
1 3628
 
1.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 176602
81.1%
1 3628
 
1.7%
ValueCountFrequency (%)
1 3628
 
1.7%
0 176602
81.1%

TP_INDIGENA_LINGUA
Real number (ℝ)

Missing 

Distinct3
Distinct (%)0.1%
Missing213997
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.658213892
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.171610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5552430065
Coefficient of variation (CV)0.2088782277
Kurtosis0.9270122576
Mean2.658213892
Median Absolute Deviation (MAD)0
Skewness-1.377235787
Sum9644
Variance0.3082947963
MonotonicityNot monotonic
2025-05-20T09:11:02.193193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 2539
 
1.2%
2 938
 
0.4%
1 151
 
0.1%
(Missing) 213997
98.3%
ValueCountFrequency (%)
1 151
 
0.1%
2 938
 
0.4%
3 2539
1.2%
ValueCountFrequency (%)
3 2539
1.2%
2 938
 
0.4%
1 151
 
0.1%

CO_LINGUA_INDIGENA_1
Real number (ℝ)

Missing 

Distinct165
Distinct (%)6.1%
Missing214935
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean157.4230483
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.221840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q178
median126
Q3211
95-th percentile286
Maximum999
Range998
Interquartile range (IQR)133

Descriptive statistics

Standard deviation161.9180021
Coefficient of variation (CV)1.02855334
Kurtosis16.48314812
Mean157.4230483
Median Absolute Deviation (MAD)78
Skewness3.633169325
Sum423468
Variance26217.43941
MonotonicityNot monotonic
2025-05-20T09:11:02.255781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 218
 
0.1%
211 214
 
0.1%
157 144
 
0.1%
126 120
 
0.1%
78 97
 
< 0.1%
235 95
 
< 0.1%
5 94
 
< 0.1%
112 80
 
< 0.1%
106 79
 
< 0.1%
999 71
 
< 0.1%
Other values (155) 1478
 
0.7%
(Missing) 214935
98.8%
ValueCountFrequency (%)
1 23
 
< 0.1%
4 5
 
< 0.1%
5 94
< 0.1%
6 43
< 0.1%
7 4
 
< 0.1%
ValueCountFrequency (%)
999 71
< 0.1%
388 1
 
< 0.1%
387 1
 
< 0.1%
381 1
 
< 0.1%
378 4
 
< 0.1%

CO_LINGUA_INDIGENA_2
Real number (ℝ)

Missing 

Distinct68
Distinct (%)18.2%
Missing217252
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean277.7828418
Minimum13
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.286859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile22.6
Q1143
median235
Q3270
95-th percentile999
Maximum999
Range986
Interquartile range (IQR)127

Descriptive statistics

Standard deviation260.3828726
Coefficient of variation (CV)0.9373612528
Kurtosis3.225256055
Mean277.7828418
Median Absolute Deviation (MAD)71
Skewness2.023149473
Sum103613
Variance67799.24035
MonotonicityNot monotonic
2025-05-20T09:11:02.322982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 41
 
< 0.1%
999 38
 
< 0.1%
179 35
 
< 0.1%
95 20
 
< 0.1%
362 20
 
< 0.1%
258 20
 
< 0.1%
234 14
 
< 0.1%
270 13
 
< 0.1%
69 13
 
< 0.1%
266 11
 
< 0.1%
Other values (58) 148
 
0.1%
(Missing) 217252
99.8%
ValueCountFrequency (%)
13 10
< 0.1%
17 1
 
< 0.1%
19 8
< 0.1%
25 1
 
< 0.1%
30 2
 
< 0.1%
ValueCountFrequency (%)
999 38
< 0.1%
388 1
 
< 0.1%
383 2
 
< 0.1%
380 2
 
< 0.1%
378 1
 
< 0.1%

CO_LINGUA_INDIGENA_3
Real number (ℝ)

Missing 

Distinct25
Distinct (%)16.9%
Missing217477
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean525.9594595
Minimum19
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.352723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile23.55
Q1259.5
median270
Q3999
95-th percentile999
Maximum999
Range980
Interquartile range (IQR)739.5

Descriptive statistics

Standard deviation399.5044529
Coefficient of variation (CV)0.7595727117
Kurtosis-1.776401402
Mean525.9594595
Median Absolute Deviation (MAD)209.5
Skewness0.2672246762
Sum77842
Variance159603.8079
MonotonicityNot monotonic
2025-05-20T09:11:02.379126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
999 60
 
< 0.1%
270 38
 
< 0.1%
69 8
 
< 0.1%
19 8
 
< 0.1%
179 4
 
< 0.1%
32 4
 
< 0.1%
260 3
 
< 0.1%
211 2
 
< 0.1%
326 2
 
< 0.1%
266 2
 
< 0.1%
Other values (15) 17
 
< 0.1%
(Missing) 217477
99.9%
ValueCountFrequency (%)
19 8
< 0.1%
32 4
< 0.1%
40 1
 
< 0.1%
52 1
 
< 0.1%
69 8
< 0.1%
ValueCountFrequency (%)
999 60
< 0.1%
382 1
 
< 0.1%
326 2
 
< 0.1%
280 2
 
< 0.1%
274 1
 
< 0.1%

IN_EXAME_SELECAO
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.0599345281
Minimum0
Maximum9
Zeros173340
Zeros (%)79.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.401032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5016913021
Coefficient of variation (CV)8.370655746
Kurtosis271.0374033
Mean0.0599345281
Median Absolute Deviation (MAD)0
Skewness15.58531229
Sum10802
Variance0.2516941626
MonotonicityNot monotonic
2025-05-20T09:11:02.420664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 173340
79.7%
1 6401
 
2.9%
9 489
 
0.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173340
79.7%
1 6401
 
2.9%
9 489
 
0.2%
ValueCountFrequency (%)
9 489
 
0.2%
1 6401
 
2.9%
0 173340
79.7%

IN_RESERVA_PPI
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing211224
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.1373222934
Minimum0
Maximum1
Zeros5522
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.440887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3442141648
Coefficient of variation (CV)2.506615323
Kurtosis2.444166246
Mean0.1373222934
Median Absolute Deviation (MAD)0
Skewness2.107938012
Sum879
Variance0.1184833913
MonotonicityNot monotonic
2025-05-20T09:11:02.460328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5522
 
2.5%
1 879
 
0.4%
(Missing) 211224
97.1%
ValueCountFrequency (%)
0 5522
2.5%
1 879
 
0.4%
ValueCountFrequency (%)
1 879
 
0.4%
0 5522
2.5%

IN_RESERVA_RENDA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing211224
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.2357444149
Minimum0
Maximum1
Zeros4892
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.479113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4244963335
Coefficient of variation (CV)1.800663374
Kurtosis-0.4490686588
Mean0.2357444149
Median Absolute Deviation (MAD)0
Skewness1.245420311
Sum1509
Variance0.1801971372
MonotonicityNot monotonic
2025-05-20T09:11:02.499114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 4892
 
2.2%
1 1509
 
0.7%
(Missing) 211224
97.1%
ValueCountFrequency (%)
0 4892
2.2%
1 1509
 
0.7%
ValueCountFrequency (%)
1 1509
 
0.7%
0 4892
2.2%

IN_RESERVA_PUBLICA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing211224
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.1965317919
Minimum0
Maximum1
Zeros5143
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.517847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3974062401
Coefficient of variation (CV)2.022096457
Kurtosis0.3340376869
Mean0.1965317919
Median Absolute Deviation (MAD)0
Skewness1.527721642
Sum1258
Variance0.1579317197
MonotonicityNot monotonic
2025-05-20T09:11:02.537765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5143
 
2.4%
1 1258
 
0.6%
(Missing) 211224
97.1%
ValueCountFrequency (%)
0 5143
2.4%
1 1258
 
0.6%
ValueCountFrequency (%)
1 1258
 
0.6%
0 5143
2.4%

IN_RESERVA_PCD
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing211224
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.2124668021
Minimum0
Maximum1
Zeros5041
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.556365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4090853267
Coefficient of variation (CV)1.925408218
Kurtosis-0.02267511358
Mean0.2124668021
Median Absolute Deviation (MAD)0
Skewness1.4061764
Sum1360
Variance0.1673508046
MonotonicityNot monotonic
2025-05-20T09:11:02.575728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5041
 
2.3%
1 1360
 
0.6%
(Missing) 211224
97.1%
ValueCountFrequency (%)
0 5041
2.3%
1 1360
 
0.6%
ValueCountFrequency (%)
1 1360
 
0.6%
0 5041
2.3%

IN_RESERVA_OUTROS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing211224
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.1179503203
Minimum0
Maximum1
Zeros5646
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.593998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3225744847
Coefficient of variation (CV)2.734833479
Kurtosis3.615629544
Mean0.1179503203
Median Absolute Deviation (MAD)0
Skewness2.369493603
Sum755
Variance0.1040542982
MonotonicityNot monotonic
2025-05-20T09:11:02.613859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5646
 
2.6%
1 755
 
0.3%
(Missing) 211224
97.1%
ValueCountFrequency (%)
0 5646
2.6%
1 755
 
0.3%
ValueCountFrequency (%)
1 755
 
0.3%
0 5646
2.6%

IN_RESERVA_NENHUMA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing211224
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.5941259178
Minimum0
Maximum1
Zeros2598
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.632371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4910987577
Coefficient of variation (CV)0.8265903623
Kurtosis-1.853547126
Mean0.5941259178
Median Absolute Deviation (MAD)0
Skewness-0.3834476683
Sum3803
Variance0.2411779898
MonotonicityNot monotonic
2025-05-20T09:11:02.652211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 3803
 
1.7%
0 2598
 
1.2%
(Missing) 211224
97.1%
ValueCountFrequency (%)
0 2598
1.2%
1 3803
1.7%
ValueCountFrequency (%)
1 3803
1.7%
0 2598
1.2%

IN_REDES_SOCIAIS
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.7418520779
Minimum0
Maximum9
Zeros73950
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.671596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249386402
Coefficient of variation (CV)1.684144911
Kurtosis33.3576377
Mean0.7418520779
Median Absolute Deviation (MAD)0
Skewness5.411744604
Sum133704
Variance1.56096638
MonotonicityNot monotonic
2025-05-20T09:11:02.690192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 102852
47.3%
0 73950
34.0%
9 3428
 
1.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 73950
34.0%
1 102852
47.3%
9 3428
 
1.6%
ValueCountFrequency (%)
9 3428
 
1.6%
1 102852
47.3%
0 73950
34.0%

IN_ESPACO_ATIVIDADE
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8367474893
Minimum0
Maximum9
Zeros97511
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.709554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.880605285
Coefficient of variation (CV)2.247518288
Kurtosis13.78730266
Mean0.8367474893
Median Absolute Deviation (MAD)0
Skewness3.81501463
Sum150807
Variance3.536676236
MonotonicityNot monotonic
2025-05-20T09:11:02.728604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 97511
44.8%
1 74208
34.1%
9 8511
 
3.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 97511
44.8%
1 74208
34.1%
9 8511
 
3.9%
ValueCountFrequency (%)
9 8511
 
3.9%
1 74208
34.1%
0 97511
44.8%

IN_ESPACO_EQUIPAMENTO
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.8148698885
Minimum0
Maximum9
Zeros102846
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.747789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.902746359
Coefficient of variation (CV)2.335030887
Kurtosis13.52124754
Mean0.8148698885
Median Absolute Deviation (MAD)0
Skewness3.791577251
Sum146864
Variance3.620443706
MonotonicityNot monotonic
2025-05-20T09:11:02.766402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 102846
47.3%
1 68699
31.6%
9 8685
 
4.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 102846
47.3%
1 68699
31.6%
9 8685
 
4.0%
ValueCountFrequency (%)
9 8685
 
4.0%
1 68699
31.6%
0 102846
47.3%

IN_ORGAO_ASS_PAIS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.03972701548
Minimum0
Maximum1
Zeros173070
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.785326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1953176679
Coefficient of variation (CV)4.916494872
Kurtosis20.21375232
Mean0.03972701548
Median Absolute Deviation (MAD)0
Skewness4.713122957
Sum7160
Variance0.03814899139
MonotonicityNot monotonic
2025-05-20T09:11:02.806790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173070
79.5%
1 7160
 
3.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 173070
79.5%
1 7160
 
3.3%
ValueCountFrequency (%)
1 7160
 
3.3%
0 173070
79.5%

IN_ORGAO_ASS_PAIS_MESTRES
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2669477889
Minimum0
Maximum1
Zeros132118
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.826516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4423660845
Coefficient of variation (CV)1.657125861
Kurtosis-0.8897812004
Mean0.2669477889
Median Absolute Deviation (MAD)0
Skewness1.053673893
Sum48112
Variance0.1956877527
MonotonicityNot monotonic
2025-05-20T09:11:02.847195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 132118
60.7%
1 48112
 
22.1%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 132118
60.7%
1 48112
 
22.1%
ValueCountFrequency (%)
1 48112
 
22.1%
0 132118
60.7%

IN_ORGAO_CONSELHO_ESCOLAR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.6287410531
Minimum0
Maximum1
Zeros66912
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.866485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4831428737
Coefficient of variation (CV)0.7684290239
Kurtosis-1.715996645
Mean0.6287410531
Median Absolute Deviation (MAD)0
Skewness-0.532937517
Sum113318
Variance0.2334270364
MonotonicityNot monotonic
2025-05-20T09:11:02.886462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 113318
52.1%
0 66912
30.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 66912
30.7%
1 113318
52.1%
ValueCountFrequency (%)
1 113318
52.1%
0 66912
30.7%

IN_ORGAO_GREMIO_ESTUDANTIL
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1158297731
Minimum0
Maximum1
Zeros159354
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.933131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3200215696
Coefficient of variation (CV)2.76286106
Kurtosis3.764500535
Mean0.1158297731
Median Absolute Deviation (MAD)0
Skewness2.400928729
Sum20876
Variance0.102413805
MonotonicityNot monotonic
2025-05-20T09:11:02.954536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 159354
73.2%
1 20876
 
9.6%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 159354
73.2%
1 20876
 
9.6%
ValueCountFrequency (%)
1 20876
 
9.6%
0 159354
73.2%

IN_ORGAO_OUTROS
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.08428674472
Minimum0
Maximum1
Zeros165039
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:02.974118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2778181377
Coefficient of variation (CV)3.2961071
Kurtosis6.956532924
Mean0.08428674472
Median Absolute Deviation (MAD)0
Skewness2.992733822
Sum15191
Variance0.07718291763
MonotonicityNot monotonic
2025-05-20T09:11:02.994078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 165039
75.8%
1 15191
 
7.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 165039
75.8%
1 15191
 
7.0%
ValueCountFrequency (%)
1 15191
 
7.0%
0 165039
75.8%

IN_ORGAO_NENHUM
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.2650002774
Minimum0
Maximum1
Zeros132469
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.014180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4413345795
Coefficient of variation (CV)1.665411764
Kurtosis-0.8658650439
Mean0.2650002774
Median Absolute Deviation (MAD)0
Skewness1.064962236
Sum47761
Variance0.1947762111
MonotonicityNot monotonic
2025-05-20T09:11:03.033992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 132469
60.9%
1 47761
 
21.9%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 132469
60.9%
1 47761
 
21.9%
ValueCountFrequency (%)
1 47761
 
21.9%
0 132469
60.9%

TP_PROPOSTA_PEDAGOGICA
Real number (ℝ)

Missing  Zeros 

Distinct4
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean1.108111857
Minimum0
Maximum9
Zeros38736
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.053628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.600360959
Coefficient of variation (CV)1.444223297
Kurtosis18.54151237
Mean1.108111857
Median Absolute Deviation (MAD)0
Skewness4.29159454
Sum199715
Variance2.5611552
MonotonicityNot monotonic
2025-05-20T09:11:03.072643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 129116
59.3%
0 38736
 
17.8%
9 6549
 
3.0%
2 5829
 
2.7%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 38736
 
17.8%
1 129116
59.3%
2 5829
 
2.7%
9 6549
 
3.0%
ValueCountFrequency (%)
9 6549
 
3.0%
2 5829
 
2.7%
1 129116
59.3%
0 38736
 
17.8%

TP_AEE
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.223880597
Minimum0
Maximum2
Zeros140759
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.092133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4283845194
Coefficient of variation (CV)1.913450853
Kurtosis0.806538657
Mean0.223880597
Median Absolute Deviation (MAD)0
Skewness1.509512561
Sum40350
Variance0.1835132965
MonotonicityNot monotonic
2025-05-20T09:11:03.114134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 140759
64.7%
1 38592
 
17.7%
2 879
 
0.4%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 140759
64.7%
1 38592
 
17.7%
2 879
 
0.4%
ValueCountFrequency (%)
2 879
 
0.4%
1 38592
 
17.7%
0 140759
64.7%

TP_ATIVIDADE_COMPLEMENTAR
Real number (ℝ)

Missing  Zeros 

Distinct3
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.1607390557
Minimum0
Maximum2
Zeros151996
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.136115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3782461463
Coefficient of variation (CV)2.353168897
Kurtosis3.008768766
Mean0.1607390557
Median Absolute Deviation (MAD)0
Skewness2.071475755
Sum28970
Variance0.1430701472
MonotonicityNot monotonic
2025-05-20T09:11:03.157793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 151996
69.8%
1 27498
 
12.6%
2 736
 
0.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 151996
69.8%
1 27498
 
12.6%
2 736
 
0.3%
ValueCountFrequency (%)
2 736
 
0.3%
1 27498
 
12.6%
0 151996
69.8%

IN_MEDIACAO_PRESENCIAL
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9971147978
Minimum0
Maximum1
Zeros520
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.178329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05363668345
Coefficient of variation (CV)0.05379188392
Kurtosis341.6085576
Mean0.9971147978
Median Absolute Deviation (MAD)0
Skewness-18.53657916
Sum179710
Variance0.002876893812
MonotonicityNot monotonic
2025-05-20T09:11:03.199677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 179710
82.6%
0 520
 
0.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 520
 
0.2%
1 179710
82.6%
ValueCountFrequency (%)
1 179710
82.6%
0 520
 
0.2%

IN_MEDIACAO_SEMIPRESENCIAL
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.002424679576
Minimum0
Maximum1
Zeros179793
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.220177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04918143883
Coefficient of variation (CV)20.28368586
Kurtosis407.4393964
Mean0.002424679576
Median Absolute Deviation (MAD)0
Skewness20.23449715
Sum437
Variance0.002418813926
MonotonicityNot monotonic
2025-05-20T09:11:03.241834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 179793
82.6%
1 437
 
0.2%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 179793
82.6%
1 437
 
0.2%
ValueCountFrequency (%)
1 437
 
0.2%
0 179793
82.6%

IN_MEDIACAO_EAD
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.01530266881
Minimum0
Maximum1
Zeros177472
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.262297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1227541476
Coefficient of variation (CV)8.02174765
Kurtosis60.36532675
Mean0.01530266881
Median Absolute Deviation (MAD)0
Skewness7.897129661
Sum2758
Variance0.01506858075
MonotonicityNot monotonic
2025-05-20T09:11:03.284727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 177472
81.5%
1 2758
 
1.3%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 177472
81.5%
1 2758
 
1.3%
ValueCountFrequency (%)
1 2758
 
1.3%
0 177472
81.5%

IN_REGULAR
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9639571658
Minimum0
Maximum1
Zeros6496
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.304887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1863972667
Coefficient of variation (CV)0.1933667525
Kurtosis22.78282184
Mean0.9639571658
Median Absolute Deviation (MAD)0
Skewness-4.978209419
Sum173734
Variance0.03474394104
MonotonicityNot monotonic
2025-05-20T09:11:03.326106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 173734
79.8%
0 6496
 
3.0%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 6496
 
3.0%
1 173734
79.8%
ValueCountFrequency (%)
1 173734
79.8%
0 6496
 
3.0%

IN_DIURNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.9847654587
Minimum0
Maximum1
Zeros2719
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.345380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1224848323
Coefficient of variation (CV)0.1243797
Kurtosis60.65751208
Mean0.9847654587
Median Absolute Deviation (MAD)0
Skewness-7.915606885
Sum175757
Variance0.01500253415
MonotonicityNot monotonic
2025-05-20T09:11:03.366282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 175757
80.8%
0 2719
 
1.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 2719
 
1.2%
1 175757
80.8%
ValueCountFrequency (%)
1 175757
80.8%
0 2719
 
1.2%

IN_NOTURNO
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.1976232098
Minimum0
Maximum1
Zeros143205
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.386312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39820744
Coefficient of variation (CV)2.01498316
Kurtosis0.3064738577
Mean0.1976232098
Median Absolute Deviation (MAD)0
Skewness1.518706826
Sum35271
Variance0.1585691652
MonotonicityNot monotonic
2025-05-20T09:11:03.407489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 143205
65.8%
1 35271
 
16.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 143205
65.8%
1 35271
 
16.2%
ValueCountFrequency (%)
1 35271
 
16.2%
0 143205
65.8%

IN_EAD
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.01762141689
Minimum0
Maximum1
Zeros175331
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.426686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1315712717
Coefficient of variation (CV)7.466554624
Kurtosis51.768547
Mean0.01762141689
Median Absolute Deviation (MAD)0
Skewness7.332664378
Sum3145
Variance0.01731099955
MonotonicityNot monotonic
2025-05-20T09:11:03.446471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175331
80.6%
1 3145
 
1.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175331
80.6%
1 3145
 
1.4%
ValueCountFrequency (%)
1 3145
 
1.4%
0 175331
80.6%

IN_ESCOLARIZACAO
Real number (ℝ)

Missing 

Distinct2
Distinct (%)< 0.1%
Missing37395
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean0.9902679909
Minimum0
Maximum1
Zeros1754
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.466923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09817000851
Coefficient of variation (CV)0.09913478918
Kurtosis97.766279
Mean0.9902679909
Median Absolute Deviation (MAD)0
Skewness-9.988252805
Sum178476
Variance0.009637350571
MonotonicityNot monotonic
2025-05-20T09:11:03.486859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 178476
82.0%
0 1754
 
0.8%
(Missing) 37395
 
17.2%
ValueCountFrequency (%)
0 1754
 
0.8%
1 178476
82.0%
ValueCountFrequency (%)
1 178476
82.0%
0 1754
 
0.8%

IN_INF
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.6374134337
Minimum0
Maximum1
Zeros64713
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.506726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4807482118
Coefficient of variation (CV)0.7542172574
Kurtosis-1.673210694
Mean0.6374134337
Median Absolute Deviation (MAD)0
Skewness-0.5716712833
Sum113763
Variance0.2311188432
MonotonicityNot monotonic
2025-05-20T09:11:03.525997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 113763
52.3%
0 64713
29.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 64713
29.7%
1 113763
52.3%
ValueCountFrequency (%)
1 113763
52.3%
0 64713
29.7%

IN_INF_CRE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.4294583025
Minimum0
Maximum1
Zeros101828
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.545113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4950002442
Coefficient of variation (CV)1.152615379
Kurtosis-1.918785094
Mean0.4294583025
Median Absolute Deviation (MAD)0
Skewness0.2850200128
Sum76648
Variance0.2450252418
MonotonicityNot monotonic
2025-05-20T09:11:03.564585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 101828
46.8%
1 76648
35.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 101828
46.8%
1 76648
35.2%
ValueCountFrequency (%)
1 76648
35.2%
0 101828
46.8%

IN_INF_PRE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.5591564132
Minimum0
Maximum1
Zeros78680
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.583369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4964895769
Coefficient of variation (CV)0.8879261064
Kurtosis-1.943234227
Mean0.5591564132
Median Absolute Deviation (MAD)0
Skewness-0.2383013818
Sum99796
Variance0.2465018999
MonotonicityNot monotonic
2025-05-20T09:11:03.603459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 99796
45.9%
0 78680
36.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 78680
36.2%
1 99796
45.9%
ValueCountFrequency (%)
1 99796
45.9%
0 78680
36.2%

IN_FUND
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.679923351
Minimum0
Maximum1
Zeros57126
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.621954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4665070279
Coefficient of variation (CV)0.6861170855
Kurtosis-1.405000071
Mean0.679923351
Median Absolute Deviation (MAD)0
Skewness-0.7713725903
Sum121350
Variance0.2176288071
MonotonicityNot monotonic
2025-05-20T09:11:03.642760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 121350
55.8%
0 57126
26.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 57126
26.2%
1 121350
55.8%
ValueCountFrequency (%)
1 121350
55.8%
0 57126
26.2%

IN_FUND_AI
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.5815067572
Minimum0
Maximum1
Zeros74691
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.661548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4933133001
Coefficient of variation (CV)0.8483363159
Kurtosis-1.890824038
Mean0.5815067572
Median Absolute Deviation (MAD)0
Skewness-0.3304499212
Sum103785
Variance0.2433580121
MonotonicityNot monotonic
2025-05-20T09:11:03.681053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 103785
47.7%
0 74691
34.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 74691
34.3%
1 103785
47.7%
ValueCountFrequency (%)
1 103785
47.7%
0 74691
34.3%

IN_FUND_AF
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.346298662
Minimum0
Maximum1
Zeros116670
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.699873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4757910961
Coefficient of variation (CV)1.373932817
Kurtosis-1.582579332
Mean0.346298662
Median Absolute Deviation (MAD)0
Skewness0.6460947322
Sum61806
Variance0.2263771671
MonotonicityNot monotonic
2025-05-20T09:11:03.720600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 116670
53.6%
1 61806
28.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 116670
53.6%
1 61806
28.4%
ValueCountFrequency (%)
1 61806
28.4%
0 116670
53.6%

IN_MED
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.1667114906
Minimum0
Maximum1
Zeros148722
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.739838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3727191273
Coefficient of variation (CV)2.235713483
Kurtosis1.198518515
Mean0.1667114906
Median Absolute Deviation (MAD)0
Skewness1.788436492
Sum29754
Variance0.1389195479
MonotonicityNot monotonic
2025-05-20T09:11:03.760948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 148722
68.3%
1 29754
 
13.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 148722
68.3%
1 29754
 
13.7%
ValueCountFrequency (%)
1 29754
 
13.7%
0 148722
68.3%

IN_PROF
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.05134023622
Minimum0
Maximum1
Zeros169313
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.780609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2206913892
Coefficient of variation (CV)4.298604865
Kurtosis14.5324597
Mean0.05134023622
Median Absolute Deviation (MAD)0
Skewness4.065992726
Sum9163
Variance0.04870468926
MonotonicityNot monotonic
2025-05-20T09:11:03.802367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 169313
77.8%
1 9163
 
4.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169313
77.8%
1 9163
 
4.2%
ValueCountFrequency (%)
1 9163
 
4.2%
0 169313
77.8%

IN_PROF_TEC
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.04510410363
Minimum0
Maximum1
Zeros170426
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.823019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2075330451
Coefficient of variation (CV)4.601200963
Kurtosis17.21868225
Mean0.04510410363
Median Absolute Deviation (MAD)0
Skewness4.383889745
Sum8050
Variance0.04306996479
MonotonicityNot monotonic
2025-05-20T09:11:03.842952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 170426
78.3%
1 8050
 
3.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 170426
78.3%
1 8050
 
3.7%
ValueCountFrequency (%)
1 8050
 
3.7%
0 170426
78.3%

IN_EJA
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.1698939913
Minimum0
Maximum1
Zeros148154
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.862999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3755406945
Coefficient of variation (CV)2.210441297
Kurtosis1.09075294
Mean0.1698939913
Median Absolute Deviation (MAD)0
Skewness1.75805026
Sum30322
Variance0.1410308132
MonotonicityNot monotonic
2025-05-20T09:11:03.883384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 148154
68.1%
1 30322
 
13.9%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 148154
68.1%
1 30322
 
13.9%
ValueCountFrequency (%)
1 30322
 
13.9%
0 148154
68.1%

IN_EJA_FUND
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.1390551111
Minimum0
Maximum1
Zeros153658
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.903128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.346004997
Coefficient of variation (CV)2.488258032
Kurtosis2.353007413
Mean0.1390551111
Median Absolute Deviation (MAD)0
Skewness2.08637989
Sum24818
Variance0.1197194579
MonotonicityNot monotonic
2025-05-20T09:11:03.923185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 153658
70.6%
1 24818
 
11.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 153658
70.6%
1 24818
 
11.4%
ValueCountFrequency (%)
1 24818
 
11.4%
0 153658
70.6%

IN_EJA_MED
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.05260090993
Minimum0
Maximum1
Zeros169088
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:03.942069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2232360487
Coefficient of variation (CV)4.243957927
Kurtosis14.06702706
Mean0.05260090993
Median Absolute Deviation (MAD)0
Skewness4.008349963
Sum9388
Variance0.04983433342
MonotonicityNot monotonic
2025-05-20T09:11:04.114468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 169088
77.7%
1 9388
 
4.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169088
77.7%
1 9388
 
4.3%
ValueCountFrequency (%)
1 9388
 
4.3%
0 169088
77.7%

IN_ESP
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.785001905
Minimum0
Maximum1
Zeros38372
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.134115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4108221754
Coefficient of variation (CV)0.5233390808
Kurtosis-0.07488221822
Mean0.785001905
Median Absolute Deviation (MAD)0
Skewness-1.38748644
Sum140104
Variance0.1687748598
MonotonicityNot monotonic
2025-05-20T09:11:04.155152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 140104
64.4%
0 38372
 
17.6%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 38372
 
17.6%
1 140104
64.4%
ValueCountFrequency (%)
1 140104
64.4%
0 38372
 
17.6%

IN_ESP_CC
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.7753535489
Minimum0
Maximum1
Zeros40094
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.174779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4173504511
Coefficient of variation (CV)0.538271156
Kurtosis-0.2588003004
Mean0.7753535489
Median Absolute Deviation (MAD)0
Skewness-1.319546361
Sum138382
Variance0.174181399
MonotonicityNot monotonic
2025-05-20T09:11:04.195693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 138382
63.6%
0 40094
 
18.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 40094
 
18.4%
1 138382
63.6%
ValueCountFrequency (%)
1 138382
63.6%
0 40094
 
18.4%

IN_ESP_CE
Real number (ℝ)

Missing  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.01718438333
Minimum0
Maximum1
Zeros175409
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.215549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299583585
Coefficient of variation (CV)7.562584931
Kurtosis53.21137957
Mean0.01718438333
Median Absolute Deviation (MAD)0
Skewness7.430395903
Sum3067
Variance0.01688917493
MonotonicityNot monotonic
2025-05-20T09:11:04.236867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 175409
80.6%
1 3067
 
1.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175409
80.6%
1 3067
 
1.4%
ValueCountFrequency (%)
1 3067
 
1.4%
0 175409
80.6%

QT_MAT_BAS
Real number (ℝ)

Missing  Skewed 

Distinct2234
Distinct (%)1.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean265.0475806
Minimum1
Maximum51791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.266802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q169
median164
Q3352
95-th percentile844
Maximum51791
Range51790
Interquartile range (IQR)283

Descriptive statistics

Standard deviation353.1086582
Coefficient of variation (CV)1.332246298
Kurtosis4629.594839
Mean265.0475806
Median Absolute Deviation (MAD)116
Skewness37.04730369
Sum47304632
Variance124685.7245
MonotonicityNot monotonic
2025-05-20T09:11:04.300293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 880
 
0.4%
15 851
 
0.4%
19 849
 
0.4%
16 841
 
0.4%
14 832
 
0.4%
21 818
 
0.4%
13 809
 
0.4%
11 801
 
0.4%
17 799
 
0.4%
24 798
 
0.4%
Other values (2224) 170198
78.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
1 56
 
< 0.1%
2 105
 
< 0.1%
3 133
0.1%
4 222
0.1%
5 326
0.1%
ValueCountFrequency (%)
51791 1
< 0.1%
44906 1
< 0.1%
36811 1
< 0.1%
8412 1
< 0.1%
8247 1
< 0.1%

QT_MAT_INF
Real number (ℝ)

Missing  Zeros 

Distinct741
Distinct (%)0.4%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean53.01079697
Minimum0
Maximum2356
Zeros64713
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.331075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q375
95-th percentile219.25
Maximum2356
Range2356
Interquartile range (IQR)75

Descriptive statistics

Standard deviation83.25524332
Coefficient of variation (CV)1.570533704
Kurtosis15.11969944
Mean53.01079697
Median Absolute Deviation (MAD)17
Skewness2.880539935
Sum9461155
Variance6931.435541
MonotonicityNot monotonic
2025-05-20T09:11:04.363296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64713
29.7%
6 1811
 
0.8%
5 1774
 
0.8%
7 1725
 
0.8%
4 1700
 
0.8%
8 1688
 
0.8%
10 1624
 
0.7%
9 1606
 
0.7%
3 1592
 
0.7%
11 1542
 
0.7%
Other values (731) 98701
45.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 64713
29.7%
1 898
 
0.4%
2 1385
 
0.6%
3 1592
 
0.7%
4 1700
 
0.8%
ValueCountFrequency (%)
2356 1
< 0.1%
1422 1
< 0.1%
1341 1
< 0.1%
1294 1
< 0.1%
1183 1
< 0.1%

QT_MAT_INF_CRE
Real number (ℝ)

Missing  Zeros 

Distinct468
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean23.10043367
Minimum0
Maximum2356
Zeros101828
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.395252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q324
95-th percentile123
Maximum2356
Range2356
Interquartile range (IQR)24

Descriptive statistics

Standard deviation47.00575001
Coefficient of variation (CV)2.034842751
Kurtosis50.65829561
Mean23.10043367
Median Absolute Deviation (MAD)0
Skewness3.878929989
Sum4122873
Variance2209.540534
MonotonicityNot monotonic
2025-05-20T09:11:04.427858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101828
46.8%
1 2014
 
0.9%
2 1914
 
0.9%
3 1912
 
0.9%
4 1882
 
0.9%
5 1794
 
0.8%
6 1662
 
0.8%
7 1609
 
0.7%
8 1496
 
0.7%
9 1483
 
0.7%
Other values (458) 60882
28.0%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 101828
46.8%
1 2014
 
0.9%
2 1914
 
0.9%
3 1912
 
0.9%
4 1882
 
0.9%
ValueCountFrequency (%)
2356 1
< 0.1%
1008 1
< 0.1%
1005 1
< 0.1%
902 1
< 0.1%
820 1
< 0.1%

QT_MAT_INF_PRE
Real number (ℝ)

Missing  Zeros 

Distinct619
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean29.9103633
Minimum0
Maximum1294
Zeros78680
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.463148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q336
95-th percentile137
Maximum1294
Range1294
Interquartile range (IQR)36

Descriptive statistics

Standard deviation56.90487183
Coefficient of variation (CV)1.902513562
Kurtosis23.24008225
Mean29.9103633
Median Absolute Deviation (MAD)6
Skewness3.86113469
Sum5338282
Variance3238.164438
MonotonicityNot monotonic
2025-05-20T09:11:04.497169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78680
36.2%
5 2474
 
1.1%
6 2416
 
1.1%
7 2348
 
1.1%
4 2331
 
1.1%
3 2264
 
1.0%
8 2220
 
1.0%
9 2086
 
1.0%
10 2041
 
0.9%
2 2013
 
0.9%
Other values (609) 79603
36.6%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 78680
36.2%
1 1399
 
0.6%
2 2013
 
0.9%
3 2264
 
1.0%
4 2331
 
1.1%
ValueCountFrequency (%)
1294 1
< 0.1%
969 1
< 0.1%
964 1
< 0.1%
916 1
< 0.1%
821 1
< 0.1%

QT_MAT_FUND
Real number (ℝ)

Missing  Zeros 

Distinct1513
Distinct (%)0.8%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean146.284139
Minimum0
Maximum3154
Zeros57126
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.529852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3218
95-th percentile595
Maximum3154
Range3154
Interquartile range (IQR)218

Descriptive statistics

Standard deviation215.467245
Coefficient of variation (CV)1.472936481
Kurtosis7.877389891
Mean146.284139
Median Absolute Deviation (MAD)45
Skewness2.311910017
Sum26108208
Variance46426.13366
MonotonicityNot monotonic
2025-05-20T09:11:04.562896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57126
26.2%
9 1221
 
0.6%
8 1173
 
0.5%
11 1161
 
0.5%
13 1124
 
0.5%
12 1103
 
0.5%
10 1102
 
0.5%
14 1052
 
0.5%
7 1043
 
0.5%
16 983
 
0.5%
Other values (1503) 111388
51.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 57126
26.2%
1 126
 
0.1%
2 242
 
0.1%
3 425
 
0.2%
4 630
 
0.3%
ValueCountFrequency (%)
3154 1
< 0.1%
3136 1
< 0.1%
3051 1
< 0.1%
2851 1
< 0.1%
2739 1
< 0.1%

QT_MAT_FUND_AI
Real number (ℝ)

Missing  Zeros 

Distinct1129
Distinct (%)0.6%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean80.83243685
Minimum0
Maximum2093
Zeros74691
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.597319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3101
95-th percentile379
Maximum2093
Range2093
Interquartile range (IQR)101

Descriptive statistics

Standard deviation140.3039555
Coefficient of variation (CV)1.735738287
Kurtosis10.75860989
Mean80.83243685
Median Absolute Deviation (MAD)15
Skewness2.805090648
Sum14426650
Variance19685.19993
MonotonicityNot monotonic
2025-05-20T09:11:04.630301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74691
34.3%
9 1368
 
0.6%
11 1343
 
0.6%
8 1307
 
0.6%
13 1271
 
0.6%
10 1262
 
0.6%
12 1240
 
0.6%
7 1206
 
0.6%
14 1174
 
0.5%
16 1135
 
0.5%
Other values (1119) 92479
42.5%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 74691
34.3%
1 171
 
0.1%
2 303
 
0.1%
3 530
 
0.2%
4 760
 
0.3%
ValueCountFrequency (%)
2093 1
< 0.1%
1916 1
< 0.1%
1765 1
< 0.1%
1706 1
< 0.1%
1700 1
< 0.1%

QT_MAT_FUND_AI_1
Real number (ℝ)

Missing  Zeros 

Distinct308
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean15.57322553
Minimum0
Maximum481
Zeros81883
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.662851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile75
Maximum481
Range481
Interquartile range (IQR)19

Descriptive statistics

Standard deviation28.33068451
Coefficient of variation (CV)1.819191821
Kurtosis14.7084105
Mean15.57322553
Median Absolute Deviation (MAD)2
Skewness3.126815299
Sum2779447
Variance802.6276846
MonotonicityNot monotonic
2025-05-20T09:11:04.696654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81883
37.6%
2 4887
 
2.2%
3 4640
 
2.1%
1 4624
 
2.1%
4 4107
 
1.9%
5 3730
 
1.7%
6 3227
 
1.5%
7 2896
 
1.3%
8 2794
 
1.3%
9 2537
 
1.2%
Other values (298) 63151
29.0%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 81883
37.6%
1 4624
 
2.1%
2 4887
 
2.2%
3 4640
 
2.1%
4 4107
 
1.9%
ValueCountFrequency (%)
481 1
< 0.1%
416 2
< 0.1%
404 1
< 0.1%
403 1
< 0.1%
401 1
< 0.1%

QT_MAT_FUND_AI_2
Real number (ℝ)

Missing  Zeros 

Distinct308
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean16.53149443
Minimum0
Maximum419
Zeros82208
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.729208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile79
Maximum419
Range419
Interquartile range (IQR)20

Descriptive statistics

Standard deviation29.84866419
Coefficient of variation (CV)1.805563575
Kurtosis12.20130153
Mean16.53149443
Median Absolute Deviation (MAD)2
Skewness2.962922103
Sum2950475
Variance890.9427537
MonotonicityNot monotonic
2025-05-20T09:11:04.761376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82208
37.8%
2 4733
 
2.2%
3 4468
 
2.1%
1 4210
 
1.9%
4 4010
 
1.8%
5 3491
 
1.6%
6 3162
 
1.5%
7 2832
 
1.3%
8 2634
 
1.2%
10 2352
 
1.1%
Other values (298) 64376
29.6%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 82208
37.8%
1 4210
 
1.9%
2 4733
 
2.2%
3 4468
 
2.1%
4 4010
 
1.8%
ValueCountFrequency (%)
419 1
< 0.1%
404 1
< 0.1%
387 1
< 0.1%
363 1
< 0.1%
354 2
< 0.1%

QT_MAT_FUND_AI_3
Real number (ℝ)

Missing  Zeros 

Distinct312
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean16.64471974
Minimum0
Maximum459
Zeros82790
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.792125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile80
Maximum459
Range459
Interquartile range (IQR)20

Descriptive statistics

Standard deviation30.1370657
Coefficient of variation (CV)1.810608179
Kurtosis12.44056397
Mean16.64471974
Median Absolute Deviation (MAD)2
Skewness2.966601142
Sum2970683
Variance908.2427289
MonotonicityNot monotonic
2025-05-20T09:11:04.824111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82790
38.0%
2 4558
 
2.1%
3 4335
 
2.0%
4 4036
 
1.9%
1 3995
 
1.8%
5 3494
 
1.6%
6 3174
 
1.5%
7 2845
 
1.3%
8 2572
 
1.2%
9 2497
 
1.1%
Other values (302) 64180
29.5%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 82790
38.0%
1 3995
 
1.8%
2 4558
 
2.1%
3 4335
 
2.0%
4 4036
 
1.9%
ValueCountFrequency (%)
459 1
< 0.1%
427 1
< 0.1%
423 1
< 0.1%
420 1
< 0.1%
398 1
< 0.1%

QT_MAT_FUND_AI_4
Real number (ℝ)

Missing  Zeros 

Distinct297
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean15.86916448
Minimum0
Maximum419
Zeros84338
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.856211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile77
Maximum419
Range419
Interquartile range (IQR)19

Descriptive statistics

Standard deviation29.02251049
Coefficient of variation (CV)1.828861911
Kurtosis12.1903712
Mean15.86916448
Median Absolute Deviation (MAD)2
Skewness2.9546892
Sum2832265
Variance842.3061149
MonotonicityNot monotonic
2025-05-20T09:11:04.887670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 84338
38.8%
2 4741
 
2.2%
3 4413
 
2.0%
1 4406
 
2.0%
4 3873
 
1.8%
5 3574
 
1.6%
6 3056
 
1.4%
7 2820
 
1.3%
8 2666
 
1.2%
9 2387
 
1.1%
Other values (287) 62202
28.6%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 84338
38.8%
1 4406
 
2.0%
2 4741
 
2.2%
3 4413
 
2.0%
4 3873
 
1.8%
ValueCountFrequency (%)
419 1
< 0.1%
417 1
< 0.1%
413 1
< 0.1%
385 1
< 0.1%
368 1
< 0.1%

QT_MAT_FUND_AI_5
Real number (ℝ)

Missing  Zeros 

Distinct306
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean16.21383267
Minimum0
Maximum461
Zeros85916
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.918065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q319
95-th percentile79
Maximum461
Range461
Interquartile range (IQR)19

Descriptive statistics

Standard deviation29.75054161
Coefficient of variation (CV)1.834886434
Kurtosis12.19183363
Mean16.21383267
Median Absolute Deviation (MAD)1
Skewness2.954865066
Sum2893780
Variance885.0947264
MonotonicityNot monotonic
2025-05-20T09:11:04.951162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85916
39.5%
2 4335
 
2.0%
3 4079
 
1.9%
1 3825
 
1.8%
4 3729
 
1.7%
5 3322
 
1.5%
6 3081
 
1.4%
7 2747
 
1.3%
8 2509
 
1.2%
9 2384
 
1.1%
Other values (296) 62549
28.7%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 85916
39.5%
1 3825
 
1.8%
2 4335
 
2.0%
3 4079
 
1.9%
4 3729
 
1.7%
ValueCountFrequency (%)
461 1
< 0.1%
419 1
< 0.1%
395 1
< 0.1%
380 1
< 0.1%
365 1
< 0.1%

QT_MAT_FUND_AF
Real number (ℝ)

Missing  Zeros 

Distinct1141
Distinct (%)0.6%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean65.45170219
Minimum0
Maximum1997
Zeros116670
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:04.982604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q362
95-th percentile375
Maximum1997
Range1997
Interquartile range (IQR)62

Descriptive statistics

Standard deviation141.352296
Coefficient of variation (CV)2.159642778
Kurtosis12.52251271
Mean65.45170219
Median Absolute Deviation (MAD)0
Skewness3.135315865
Sum11681558
Variance19980.47158
MonotonicityNot monotonic
2025-05-20T09:11:05.016622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116670
53.6%
13 339
 
0.2%
57 323
 
0.1%
39 321
 
0.1%
56 320
 
0.1%
17 319
 
0.1%
15 318
 
0.1%
12 315
 
0.1%
16 315
 
0.1%
21 313
 
0.1%
Other values (1131) 58923
27.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 116670
53.6%
1 167
 
0.1%
2 147
 
0.1%
3 168
 
0.1%
4 208
 
0.1%
ValueCountFrequency (%)
1997 1
< 0.1%
1986 1
< 0.1%
1701 1
< 0.1%
1688 1
< 0.1%
1671 1
< 0.1%

QT_MAT_FUND_AF_6
Real number (ℝ)

Missing  Zeros 

Distinct385
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean17.23686098
Minimum0
Maximum714
Zeros118673
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.049753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile99
Maximum714
Range714
Interquartile range (IQR)16

Descriptive statistics

Standard deviation37.83412229
Coefficient of variation (CV)2.19495431
Kurtosis15.0957368
Mean17.23686098
Median Absolute Deviation (MAD)0
Skewness3.31330675
Sum3076366
Variance1431.420809
MonotonicityNot monotonic
2025-05-20T09:11:05.082879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118673
54.5%
11 1065
 
0.5%
5 1057
 
0.5%
12 1049
 
0.5%
13 1035
 
0.5%
8 1034
 
0.5%
10 1025
 
0.5%
9 1025
 
0.5%
14 1020
 
0.5%
15 1007
 
0.5%
Other values (375) 50486
23.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 118673
54.5%
1 772
 
0.4%
2 761
 
0.3%
3 922
 
0.4%
4 968
 
0.4%
ValueCountFrequency (%)
714 1
< 0.1%
565 1
< 0.1%
503 1
< 0.1%
497 1
< 0.1%
484 1
< 0.1%

QT_MAT_FUND_AF_7
Real number (ℝ)

Missing  Zeros 

Distinct375
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean16.58238082
Minimum0
Maximum698
Zeros119494
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.114837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile96
Maximum698
Range698
Interquartile range (IQR)15

Descriptive statistics

Standard deviation36.63136785
Coefficient of variation (CV)2.209053587
Kurtosis14.86682972
Mean16.58238082
Median Absolute Deviation (MAD)0
Skewness3.307081445
Sum2959557
Variance1341.85711
MonotonicityNot monotonic
2025-05-20T09:11:05.148722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119494
54.9%
13 1089
 
0.5%
15 1063
 
0.5%
12 1056
 
0.5%
11 1051
 
0.5%
6 1046
 
0.5%
8 1044
 
0.5%
10 1037
 
0.5%
14 1023
 
0.5%
9 1018
 
0.5%
Other values (365) 49555
22.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 119494
54.9%
1 734
 
0.3%
2 854
 
0.4%
3 934
 
0.4%
4 924
 
0.4%
ValueCountFrequency (%)
698 1
< 0.1%
577 1
< 0.1%
495 1
< 0.1%
477 1
< 0.1%
460 1
< 0.1%

QT_MAT_FUND_AF_8
Real number (ℝ)

Missing  Zeros 

Distinct358
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean16.04273964
Minimum0
Maximum543
Zeros120263
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.181820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile94
Maximum543
Range543
Interquartile range (IQR)14

Descriptive statistics

Standard deviation35.7495854
Coefficient of variation (CV)2.228396533
Kurtosis13.95564998
Mean16.04273964
Median Absolute Deviation (MAD)0
Skewness3.28016608
Sum2863244
Variance1278.032856
MonotonicityNot monotonic
2025-05-20T09:11:05.214453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120263
55.3%
14 1121
 
0.5%
12 1113
 
0.5%
11 1103
 
0.5%
15 1067
 
0.5%
17 1055
 
0.5%
10 1050
 
0.5%
8 1049
 
0.5%
13 1037
 
0.5%
7 1027
 
0.5%
Other values (348) 48591
22.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 120263
55.3%
1 738
 
0.3%
2 860
 
0.4%
3 948
 
0.4%
4 952
 
0.4%
ValueCountFrequency (%)
543 1
< 0.1%
498 1
< 0.1%
479 1
< 0.1%
444 1
< 0.1%
429 1
< 0.1%

QT_MAT_FUND_AF_9
Real number (ℝ)

Missing  Zeros 

Distinct354
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean15.58972075
Minimum0
Maximum796
Zeros121173
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.247014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile92
Maximum796
Range796
Interquartile range (IQR)13

Descriptive statistics

Standard deviation35.30068915
Coefficient of variation (CV)2.264356733
Kurtosis16.02211016
Mean15.58972075
Median Absolute Deviation (MAD)0
Skewness3.40133087
Sum2782391
Variance1246.138654
MonotonicityNot monotonic
2025-05-20T09:11:05.434970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 121173
55.7%
10 1146
 
0.5%
12 1138
 
0.5%
14 1136
 
0.5%
11 1124
 
0.5%
13 1107
 
0.5%
9 1082
 
0.5%
8 1067
 
0.5%
16 1055
 
0.5%
15 1054
 
0.5%
Other values (344) 47394
 
21.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 121173
55.7%
1 773
 
0.4%
2 814
 
0.4%
3 874
 
0.4%
4 985
 
0.5%
ValueCountFrequency (%)
796 1
< 0.1%
501 1
< 0.1%
482 1
< 0.1%
479 1
< 0.1%
475 1
< 0.1%

QT_MAT_MED
Real number (ℝ)

Missing  Zeros 

Distinct1432
Distinct (%)0.8%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean43.01274681
Minimum0
Maximum2759
Zeros148722
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.468786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile304
Maximum2759
Range2759
Interquartile range (IQR)0

Descriptive statistics

Standard deviation145.5126394
Coefficient of variation (CV)3.383012019
Kurtosis38.74056246
Mean43.01274681
Median Absolute Deviation (MAD)0
Skewness5.343268038
Sum7676743
Variance21173.92824
MonotonicityNot monotonic
2025-05-20T09:11:05.501707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148722
68.3%
59 141
 
0.1%
64 140
 
0.1%
42 137
 
0.1%
62 136
 
0.1%
41 135
 
0.1%
67 135
 
0.1%
48 133
 
0.1%
56 132
 
0.1%
57 132
 
0.1%
Other values (1422) 28533
 
13.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 148722
68.3%
1 13
 
< 0.1%
2 20
 
< 0.1%
3 27
 
< 0.1%
4 30
 
< 0.1%
ValueCountFrequency (%)
2759 1
< 0.1%
2490 1
< 0.1%
2471 1
< 0.1%
2398 1
< 0.1%
2330 1
< 0.1%

QT_MAT_MED_PROP
Real number (ℝ)

Missing  Zeros 

Distinct1382
Distinct (%)0.8%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean38.39819359
Minimum0
Maximum2759
Zeros150473
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.533892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile266
Maximum2759
Range2759
Interquartile range (IQR)0

Descriptive statistics

Standard deviation136.2761304
Coefficient of variation (CV)3.549024515
Kurtosis44.23824717
Mean38.39819359
Median Absolute Deviation (MAD)0
Skewness5.709212867
Sum6853156
Variance18571.18371
MonotonicityNot monotonic
2025-05-20T09:11:05.565797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150473
69.1%
64 141
 
0.1%
42 137
 
0.1%
59 137
 
0.1%
67 136
 
0.1%
62 135
 
0.1%
58 135
 
0.1%
40 133
 
0.1%
56 132
 
0.1%
34 130
 
0.1%
Other values (1372) 26787
 
12.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 150473
69.1%
1 10
 
< 0.1%
2 18
 
< 0.1%
3 28
 
< 0.1%
4 27
 
< 0.1%
ValueCountFrequency (%)
2759 1
< 0.1%
2471 1
< 0.1%
2398 1
< 0.1%
2324 1
< 0.1%
2271 1
< 0.1%

QT_MAT_MED_PROP_1
Real number (ℝ)

Missing  Zeros 

Distinct627
Distinct (%)0.4%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean14.41938972
Minimum0
Maximum1128
Zeros151221
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.598710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile102
Maximum1128
Range1128
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.77232594
Coefficient of variation (CV)3.521114757
Kurtosis44.09957434
Mean14.41938972
Median Absolute Deviation (MAD)0
Skewness5.630101532
Sum2573515
Variance2577.829081
MonotonicityNot monotonic
2025-05-20T09:11:05.631399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151221
69.5%
17 336
 
0.2%
14 334
 
0.2%
21 333
 
0.2%
20 333
 
0.2%
19 330
 
0.2%
16 322
 
0.1%
22 317
 
0.1%
18 312
 
0.1%
15 310
 
0.1%
Other values (617) 24328
 
11.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 151221
69.5%
1 36
 
< 0.1%
2 54
 
< 0.1%
3 77
 
< 0.1%
4 88
 
< 0.1%
ValueCountFrequency (%)
1128 1
< 0.1%
1090 1
< 0.1%
1044 1
< 0.1%
935 1
< 0.1%
929 1
< 0.1%

QT_MAT_MED_PROP_2
Real number (ℝ)

Missing  Zeros 

Distinct594
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean12.70166857
Minimum0
Maximum926
Zeros151761
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.663502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87
Maximum926
Range926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.06903097
Coefficient of variation (CV)3.627006225
Kurtosis48.07680178
Mean12.70166857
Median Absolute Deviation (MAD)0
Skewness5.923021966
Sum2266943
Variance2122.355615
MonotonicityNot monotonic
2025-05-20T09:11:05.695737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151761
69.7%
13 377
 
0.2%
20 368
 
0.2%
14 364
 
0.2%
21 355
 
0.2%
15 352
 
0.2%
18 347
 
0.2%
17 345
 
0.2%
16 342
 
0.2%
19 342
 
0.2%
Other values (584) 23523
 
10.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 151761
69.7%
1 42
 
< 0.1%
2 59
 
< 0.1%
3 86
 
< 0.1%
4 108
 
< 0.1%
ValueCountFrequency (%)
926 1
< 0.1%
886 1
< 0.1%
850 1
< 0.1%
818 1
< 0.1%
795 1
< 0.1%

QT_MAT_MED_PROP_3
Real number (ℝ)

Missing  Zeros 

Distinct497
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean10.44302875
Minimum0
Maximum995
Zeros152114
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.727337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile73
Maximum995
Range995
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.49483059
Coefficient of variation (CV)3.590417251
Kurtosis51.0817361
Mean10.44302875
Median Absolute Deviation (MAD)0
Skewness5.959012444
Sum1863830
Variance1405.862321
MonotonicityNot monotonic
2025-05-20T09:11:05.761150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152114
69.9%
15 454
 
0.2%
17 407
 
0.2%
18 406
 
0.2%
13 393
 
0.2%
20 393
 
0.2%
14 388
 
0.2%
19 384
 
0.2%
12 383
 
0.2%
16 378
 
0.2%
Other values (487) 22776
 
10.5%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 152114
69.9%
1 63
 
< 0.1%
2 80
 
< 0.1%
3 97
 
< 0.1%
4 126
 
0.1%
ValueCountFrequency (%)
995 1
< 0.1%
742 1
< 0.1%
741 1
< 0.1%
731 1
< 0.1%
705 1
< 0.1%

QT_MAT_MED_PROP_4
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct20
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.004913825949
Minimum0
Maximum70
Zeros178448
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.788220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.43225266
Coefficient of variation (CV)87.96662001
Kurtosis11638.60005
Mean0.004913825949
Median Absolute Deviation (MAD)0
Skewness101.7838158
Sum877
Variance0.1868423621
MonotonicityNot monotonic
2025-05-20T09:11:05.813597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 178448
82.0%
39 4
 
< 0.1%
23 4
 
< 0.1%
26 2
 
< 0.1%
19 2
 
< 0.1%
31 2
 
< 0.1%
40 1
 
< 0.1%
11 1
 
< 0.1%
33 1
 
< 0.1%
24 1
 
< 0.1%
Other values (10) 10
 
< 0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178448
82.0%
5 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
70 1
< 0.1%
58 1
< 0.1%
57 1
< 0.1%
44 1
< 0.1%
41 1
< 0.1%

QT_MAT_MED_PROP_NS
Real number (ℝ)

Missing  Zeros 

Distinct255
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.8291927206
Minimum0
Maximum567
Zeros176386
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.842665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum567
Range567
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.977978257
Coefficient of variation (CV)12.03336451
Kurtosis364.5231979
Mean0.8291927206
Median Absolute Deviation (MAD)0
Skewness16.77694921
Sum147991
Variance99.56005009
MonotonicityNot monotonic
2025-05-20T09:11:05.875535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176386
81.1%
22 33
 
< 0.1%
26 32
 
< 0.1%
25 30
 
< 0.1%
16 28
 
< 0.1%
23 27
 
< 0.1%
13 27
 
< 0.1%
20 27
 
< 0.1%
17 27
 
< 0.1%
38 27
 
< 0.1%
Other values (245) 1832
 
0.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 176386
81.1%
1 16
 
< 0.1%
2 3
 
< 0.1%
3 7
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
567 1
< 0.1%
376 1
< 0.1%
346 1
< 0.1%
327 1
< 0.1%
324 1
< 0.1%

QT_MAT_MED_CT
Real number (ℝ)

Missing  Zeros 

Distinct727
Distinct (%)0.4%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean4.382264282
Minimum0
Maximum2490
Zeros174693
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.908129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2490
Range2490
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.09832927
Coefficient of variation (CV)10.29110213
Kurtosis387.8506053
Mean4.382264282
Median Absolute Deviation (MAD)0
Skewness16.46414377
Sum782129
Variance2033.859303
MonotonicityNot monotonic
2025-05-20T09:11:05.942418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174693
80.3%
36 35
 
< 0.1%
26 34
 
< 0.1%
33 32
 
< 0.1%
34 31
 
< 0.1%
55 30
 
< 0.1%
22 29
 
< 0.1%
54 29
 
< 0.1%
30 29
 
< 0.1%
69 28
 
< 0.1%
Other values (717) 3506
 
1.6%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 174693
80.3%
1 4
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
2490 1
< 0.1%
2002 1
< 0.1%
1858 1
< 0.1%
1856 1
< 0.1%
1849 1
< 0.1%

QT_MAT_MED_CT_1
Real number (ℝ)

Missing  Zeros 

Distinct364
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.704133889
Minimum0
Maximum804
Zeros175518
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:05.975147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum804
Range804
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.36865839
Coefficient of variation (CV)10.19207382
Kurtosis332.4964531
Mean1.704133889
Median Absolute Deviation (MAD)0
Skewness15.51317711
Sum304147
Variance301.6702944
MonotonicityNot monotonic
2025-05-20T09:11:06.009463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175518
80.7%
36 57
 
< 0.1%
35 55
 
< 0.1%
33 53
 
< 0.1%
34 51
 
< 0.1%
30 50
 
< 0.1%
38 48
 
< 0.1%
32 46
 
< 0.1%
39 41
 
< 0.1%
180 39
 
< 0.1%
Other values (354) 2518
 
1.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175518
80.7%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 7
 
< 0.1%
ValueCountFrequency (%)
804 1
< 0.1%
752 1
< 0.1%
663 1
< 0.1%
631 1
< 0.1%
619 1
< 0.1%

QT_MAT_MED_CT_2
Real number (ℝ)

Missing  Zeros 

Distinct309
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.339283713
Minimum0
Maximum875
Zeros175433
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.043414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum875
Range875
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.02397783
Coefficient of variation (CV)10.47125242
Kurtosis409.8046995
Mean1.339283713
Median Absolute Deviation (MAD)0
Skewness16.58977872
Sum239030
Variance196.6719541
MonotonicityNot monotonic
2025-05-20T09:11:06.076978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175433
80.6%
22 57
 
< 0.1%
20 57
 
< 0.1%
23 57
 
< 0.1%
29 55
 
< 0.1%
30 54
 
< 0.1%
18 53
 
< 0.1%
27 52
 
< 0.1%
15 51
 
< 0.1%
21 51
 
< 0.1%
Other values (299) 2556
 
1.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175433
80.6%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 3
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
875 1
< 0.1%
638 1
< 0.1%
594 1
< 0.1%
569 1
< 0.1%
563 1
< 0.1%

QT_MAT_MED_CT_3
Real number (ℝ)

Missing  Zeros 

Distinct278
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.00159125
Minimum0
Maximum811
Zeros176064
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.108966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum811
Range811
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.0370129
Coefficient of variation (CV)12.01788943
Kurtosis536.8813992
Mean1.00159125
Median Absolute Deviation (MAD)0
Skewness18.95482474
Sum178760
Variance144.8896795
MonotonicityNot monotonic
2025-05-20T09:11:06.143285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176064
80.9%
15 55
 
< 0.1%
17 51
 
< 0.1%
16 50
 
< 0.1%
10 50
 
< 0.1%
13 49
 
< 0.1%
12 43
 
< 0.1%
14 41
 
< 0.1%
19 41
 
< 0.1%
18 40
 
< 0.1%
Other values (268) 1992
 
0.9%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 176064
80.9%
2 3
 
< 0.1%
3 8
 
< 0.1%
4 11
 
< 0.1%
5 20
 
< 0.1%
ValueCountFrequency (%)
811 1
< 0.1%
673 1
< 0.1%
534 1
< 0.1%
529 1
< 0.1%
500 1
< 0.1%

QT_MAT_MED_CT_4
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct144
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.1213776642
Minimum0
Maximum386
Zeros178133
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.177677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum386
Range386
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.841313448
Coefficient of variation (CV)31.64761386
Kurtosis3118.252774
Mean0.1213776642
Median Absolute Deviation (MAD)0
Skewness48.87400207
Sum21663
Variance14.75568901
MonotonicityNot monotonic
2025-05-20T09:11:06.212531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178133
81.9%
16 10
 
< 0.1%
22 8
 
< 0.1%
28 8
 
< 0.1%
33 7
 
< 0.1%
13 7
 
< 0.1%
11 7
 
< 0.1%
15 7
 
< 0.1%
21 6
 
< 0.1%
63 6
 
< 0.1%
Other values (134) 277
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178133
81.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
386 1
< 0.1%
360 1
< 0.1%
352 1
< 0.1%
314 1
< 0.1%
271 1
< 0.1%

QT_MAT_MED_CT_NS
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct149
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2158777651
Minimum0
Maximum1470
Zeros178277
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.246237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1470
Range1470
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.67452584
Coefficient of variation (CV)49.44708333
Kurtosis6770.382892
Mean0.2158777651
Median Absolute Deviation (MAD)0
Skewness74.13696436
Sum38529
Variance113.9455019
MonotonicityNot monotonic
2025-05-20T09:11:06.279911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178277
81.9%
19 5
 
< 0.1%
9 4
 
< 0.1%
1 4
 
< 0.1%
26 4
 
< 0.1%
24 4
 
< 0.1%
27 3
 
< 0.1%
25 3
 
< 0.1%
23 3
 
< 0.1%
30 3
 
< 0.1%
Other values (139) 166
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178277
81.9%
1 4
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
1470 1
< 0.1%
1173 1
< 0.1%
1155 1
< 0.1%
1082 1
< 0.1%
1016 1
< 0.1%

QT_MAT_MED_NM
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct181
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2322889352
Minimum0
Maximum1471
Zeros177938
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.312453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1471
Range1471
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.626174053
Coefficient of variation (CV)32.83055237
Kurtosis11489.52404
Mean0.2322889352
Median Absolute Deviation (MAD)0
Skewness85.81510466
Sum41458
Variance58.15853069
MonotonicityNot monotonic
2025-05-20T09:11:06.347371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177938
81.8%
36 11
 
< 0.1%
38 11
 
< 0.1%
49 10
 
< 0.1%
27 10
 
< 0.1%
22 10
 
< 0.1%
25 10
 
< 0.1%
14 9
 
< 0.1%
62 9
 
< 0.1%
29 9
 
< 0.1%
Other values (171) 449
 
0.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 177938
81.8%
1 1
 
< 0.1%
3 4
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
1471 1
< 0.1%
911 1
< 0.1%
794 1
< 0.1%
773 1
< 0.1%
656 1
< 0.1%

QT_MAT_MED_NM_1
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct98
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.07611667675
Minimum0
Maximum488
Zeros178177
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.382802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum488
Range488
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.967615236
Coefficient of variation (CV)38.98771416
Kurtosis8800.540705
Mean0.07611667675
Median Absolute Deviation (MAD)0
Skewness79.77271942
Sum13585
Variance8.806740187
MonotonicityNot monotonic
2025-05-20T09:11:06.417946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178177
81.9%
22 12
 
< 0.1%
13 12
 
< 0.1%
16 11
 
< 0.1%
20 10
 
< 0.1%
38 9
 
< 0.1%
36 9
 
< 0.1%
24 9
 
< 0.1%
26 8
 
< 0.1%
18 8
 
< 0.1%
Other values (88) 211
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178177
81.9%
2 1
 
< 0.1%
5 2
 
< 0.1%
6 5
 
< 0.1%
7 4
 
< 0.1%
ValueCountFrequency (%)
488 1
< 0.1%
343 1
< 0.1%
330 1
< 0.1%
301 1
< 0.1%
300 1
< 0.1%

QT_MAT_MED_NM_2
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct85
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.05539120106
Minimum0
Maximum560
Zeros178208
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.450150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum560
Range560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.491293035
Coefficient of variation (CV)44.97633175
Kurtosis18306.75932
Mean0.05539120106
Median Absolute Deviation (MAD)0
Skewness110.1742479
Sum9886
Variance6.206540987
MonotonicityNot monotonic
2025-05-20T09:11:06.482961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178208
81.9%
14 11
 
< 0.1%
18 11
 
< 0.1%
23 10
 
< 0.1%
22 10
 
< 0.1%
20 10
 
< 0.1%
16 10
 
< 0.1%
13 9
 
< 0.1%
21 9
 
< 0.1%
19 9
 
< 0.1%
Other values (75) 179
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178208
81.9%
1 1
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
560 1
< 0.1%
314 1
< 0.1%
243 1
< 0.1%
235 1
< 0.1%
231 1
< 0.1%

QT_MAT_MED_NM_3
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct90
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.06189067438
Minimum0
Maximum423
Zeros178129
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.515312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum423
Range423
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.266389135
Coefficient of variation (CV)36.61923477
Kurtosis10427.7908
Mean0.06189067438
Median Absolute Deviation (MAD)0
Skewness82.79570617
Sum11046
Variance5.136519712
MonotonicityNot monotonic
2025-05-20T09:11:06.548195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178129
81.9%
19 14
 
< 0.1%
18 14
 
< 0.1%
6 12
 
< 0.1%
11 12
 
< 0.1%
8 12
 
< 0.1%
12 11
 
< 0.1%
13 11
 
< 0.1%
25 11
 
< 0.1%
10 10
 
< 0.1%
Other values (80) 240
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178129
81.9%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
423 1
< 0.1%
254 1
< 0.1%
237 1
< 0.1%
221 1
< 0.1%
198 1
< 0.1%

QT_MAT_MED_NM_4
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct67
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.03889038302
Minimum0
Maximum179
Zeros178169
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.583216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum179
Range179
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.271491943
Coefficient of variation (CV)32.69425096
Kurtosis4312.018712
Mean0.03889038302
Median Absolute Deviation (MAD)0
Skewness54.35426444
Sum6941
Variance1.61669176
MonotonicityNot monotonic
2025-05-20T09:11:06.773389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178169
81.9%
15 17
 
< 0.1%
20 15
 
< 0.1%
14 14
 
< 0.1%
13 13
 
< 0.1%
10 13
 
< 0.1%
8 12
 
< 0.1%
7 12
 
< 0.1%
16 11
 
< 0.1%
3 10
 
< 0.1%
Other values (57) 190
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178169
81.9%
1 4
 
< 0.1%
2 6
 
< 0.1%
3 10
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
179 1
< 0.1%
109 1
< 0.1%
99 1
< 0.1%
95 1
< 0.1%
90 1
< 0.1%

QT_MAT_PROF
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1208
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean13.52464757
Minimum0
Maximum50898
Zeros169313
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.807231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum50898
Range50898
Interquartile range (IQR)0

Descriptive statistics

Standard deviation212.7623994
Coefficient of variation (CV)15.73145609
Kurtosis34523.19512
Mean13.52464757
Median Absolute Deviation (MAD)0
Skewness161.4853862
Sum2413825
Variance45267.83859
MonotonicityNot monotonic
2025-05-20T09:11:06.839931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169313
77.8%
36 77
 
< 0.1%
29 71
 
< 0.1%
30 71
 
< 0.1%
25 70
 
< 0.1%
26 70
 
< 0.1%
23 69
 
< 0.1%
21 69
 
< 0.1%
34 66
 
< 0.1%
22 66
 
< 0.1%
Other values (1198) 8534
 
3.9%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169313
77.8%
1 10
 
< 0.1%
2 19
 
< 0.1%
3 29
 
< 0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
50898 1
< 0.1%
44906 1
< 0.1%
36811 1
< 0.1%
8412 1
< 0.1%
8247 1
< 0.1%

QT_MAT_PROF_TEC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1187
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean12.72780094
Minimum0
Maximum50898
Zeros170426
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.871044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50898
Range50898
Interquartile range (IQR)0

Descriptive statistics

Standard deviation211.6860241
Coefficient of variation (CV)16.63178307
Kurtosis35232.16201
Mean12.72780094
Median Absolute Deviation (MAD)0
Skewness163.8870942
Sum2271607
Variance44810.9728
MonotonicityNot monotonic
2025-05-20T09:11:06.905369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170426
78.3%
30 67
 
< 0.1%
36 66
 
< 0.1%
21 65
 
< 0.1%
29 63
 
< 0.1%
33 63
 
< 0.1%
32 62
 
< 0.1%
34 58
 
< 0.1%
40 58
 
< 0.1%
23 57
 
< 0.1%
Other values (1177) 7491
 
3.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 170426
78.3%
1 7
 
< 0.1%
2 12
 
< 0.1%
3 21
 
< 0.1%
4 19
 
< 0.1%
ValueCountFrequency (%)
50898 1
< 0.1%
44906 1
< 0.1%
36811 1
< 0.1%
8412 1
< 0.1%
8247 1
< 0.1%

QT_MAT_PROF_TEC_CONC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct436
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.857471033
Minimum0
Maximum44903
Zeros175319
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:06.940557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44903
Range44903
Interquartile range (IQR)0

Descriptive statistics

Standard deviation111.7284239
Coefficient of variation (CV)60.1508298
Kurtosis146356.0337
Mean1.857471033
Median Absolute Deviation (MAD)0
Skewness367.0026325
Sum331514
Variance12483.24071
MonotonicityNot monotonic
2025-05-20T09:11:06.975753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175319
80.6%
1 173
 
0.1%
2 125
 
0.1%
3 118
 
0.1%
4 86
 
< 0.1%
5 75
 
< 0.1%
9 68
 
< 0.1%
6 64
 
< 0.1%
8 63
 
< 0.1%
7 59
 
< 0.1%
Other values (426) 2326
 
1.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175319
80.6%
1 173
 
0.1%
2 125
 
0.1%
3 118
 
0.1%
4 86
 
< 0.1%
ValueCountFrequency (%)
44903 1
< 0.1%
8412 1
< 0.1%
4505 1
< 0.1%
2989 1
< 0.1%
2876 1
< 0.1%

QT_MAT_PROF_TEC_SUBS
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct822
Distinct (%)0.5%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean6.041109169
Minimum0
Maximum50898
Zeros173936
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.008356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50898
Range50898
Interquartile range (IQR)0

Descriptive statistics

Standard deviation165.8428159
Coefficient of variation (CV)27.45237858
Kurtosis63038.20493
Mean6.041109169
Median Absolute Deviation (MAD)0
Skewness225.8169703
Sum1078193
Variance27503.83959
MonotonicityNot monotonic
2025-05-20T09:11:07.042648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173936
79.9%
30 48
 
< 0.1%
17 45
 
< 0.1%
22 43
 
< 0.1%
31 38
 
< 0.1%
32 38
 
< 0.1%
27 38
 
< 0.1%
19 38
 
< 0.1%
36 37
 
< 0.1%
25 37
 
< 0.1%
Other values (812) 4178
 
1.9%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 173936
79.9%
1 21
 
< 0.1%
2 21
 
< 0.1%
3 21
 
< 0.1%
4 20
 
< 0.1%
ValueCountFrequency (%)
50898 1
< 0.1%
36558 1
< 0.1%
8247 1
< 0.1%
7859 1
< 0.1%
7182 1
< 0.1%

QT_MAT_PROF_FIC_CONC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct208
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.3305990721
Minimum0
Maximum1430
Zeros177809
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.073160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1430
Range1430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.22719702
Coefficient of variation (CV)33.96015888
Kurtosis6427.729226
Mean0.3305990721
Median Absolute Deviation (MAD)0
Skewness69.92141246
Sum59004
Variance126.0499528
MonotonicityNot monotonic
2025-05-20T09:11:07.106995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177809
81.7%
7 16
 
< 0.1%
13 14
 
< 0.1%
3 13
 
< 0.1%
22 13
 
< 0.1%
12 13
 
< 0.1%
17 13
 
< 0.1%
1 13
 
< 0.1%
11 13
 
< 0.1%
16 12
 
< 0.1%
Other values (198) 547
 
0.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 177809
81.7%
1 13
 
< 0.1%
2 12
 
< 0.1%
3 13
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
1430 1
< 0.1%
1396 1
< 0.1%
1188 1
< 0.1%
1122 1
< 0.1%
1086 1
< 0.1%

QT_MAT_EJA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct830
Distinct (%)0.5%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean14.51071853
Minimum0
Maximum7856
Zeros148154
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.139731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84
Maximum7856
Range7856
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76.79410596
Coefficient of variation (CV)5.292233173
Kurtosis1494.566705
Mean14.51071853
Median Absolute Deviation (MAD)0
Skewness27.37859733
Sum2589815
Variance5897.334711
MonotonicityNot monotonic
2025-05-20T09:11:07.174785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148154
68.1%
15 585
 
0.3%
17 577
 
0.3%
18 567
 
0.3%
16 560
 
0.3%
14 552
 
0.3%
12 534
 
0.2%
20 532
 
0.2%
21 516
 
0.2%
13 502
 
0.2%
Other values (820) 25397
 
11.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 148154
68.1%
1 41
 
< 0.1%
2 52
 
< 0.1%
3 77
 
< 0.1%
4 122
 
0.1%
ValueCountFrequency (%)
7856 1
< 0.1%
5972 1
< 0.1%
4951 1
< 0.1%
4593 1
< 0.1%
4471 1
< 0.1%

QT_MAT_EJA_FUND
Real number (ℝ)

Missing  Zeros 

Distinct605
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean8.829220736
Minimum0
Maximum2109
Zeros153658
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.208124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile53
Maximum2109
Range2109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.62449685
Coefficient of variation (CV)4.60114183
Kurtosis351.2359328
Mean8.829220736
Median Absolute Deviation (MAD)0
Skewness13.43905735
Sum1575804
Variance1650.349744
MonotonicityNot monotonic
2025-05-20T09:11:07.240135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153658
70.6%
16 590
 
0.3%
15 585
 
0.3%
17 576
 
0.3%
18 561
 
0.3%
12 555
 
0.3%
14 546
 
0.3%
20 527
 
0.2%
21 514
 
0.2%
13 505
 
0.2%
Other values (595) 19859
 
9.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 153658
70.6%
1 65
 
< 0.1%
2 64
 
< 0.1%
3 82
 
< 0.1%
4 126
 
0.1%
ValueCountFrequency (%)
2109 1
< 0.1%
2098 1
< 0.1%
1966 1
< 0.1%
1827 1
< 0.1%
1782 1
< 0.1%

QT_MAT_EJA_FUND_AI
Real number (ℝ)

Missing  Zeros 

Distinct396
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean3.938081311
Minimum0
Maximum1749
Zeros160270
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.270561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum1749
Range1749
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.74863553
Coefficient of variation (CV)5.522647659
Kurtosis640.9567614
Mean3.938081311
Median Absolute Deviation (MAD)0
Skewness17.72114923
Sum702853
Variance473.0031474
MonotonicityNot monotonic
2025-05-20T09:11:07.305383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160270
73.6%
15 573
 
0.3%
16 569
 
0.3%
12 565
 
0.3%
17 556
 
0.3%
14 545
 
0.3%
13 528
 
0.2%
18 522
 
0.2%
10 519
 
0.2%
20 503
 
0.2%
Other values (386) 13326
 
6.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 160270
73.6%
1 123
 
0.1%
2 137
 
0.1%
3 187
 
0.1%
4 229
 
0.1%
ValueCountFrequency (%)
1749 1
< 0.1%
1243 1
< 0.1%
1210 1
< 0.1%
1117 1
< 0.1%
863 2
< 0.1%

QT_MAT_EJA_FUND_AF
Real number (ℝ)

Missing  Zeros 

Distinct462
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean4.675334499
Minimum0
Maximum1958
Zeros162876
Zeros (%)74.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.339483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25
Maximum1958
Range1958
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.0388079
Coefficient of variation (CV)5.997176867
Kurtosis735.211058
Mean4.675334499
Median Absolute Deviation (MAD)0
Skewness19.28475867
Sum834435
Variance786.1747486
MonotonicityNot monotonic
2025-05-20T09:11:07.375644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162876
74.8%
15 350
 
0.2%
11 346
 
0.2%
10 344
 
0.2%
13 343
 
0.2%
12 335
 
0.2%
14 320
 
0.1%
9 318
 
0.1%
8 315
 
0.1%
17 313
 
0.1%
Other values (452) 12616
 
5.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 162876
74.8%
1 155
 
0.1%
2 169
 
0.1%
3 172
 
0.1%
4 215
 
0.1%
ValueCountFrequency (%)
1958 1
< 0.1%
1782 1
< 0.1%
1780 1
< 0.1%
1733 1
< 0.1%
1555 1
< 0.1%

QT_MAT_EJA_FUND_FIC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct170
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2158049262
Minimum0
Maximum1158
Zeros177910
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.410621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1158
Range1158
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.345585695
Coefficient of variation (CV)29.40426712
Kurtosis8992.484546
Mean0.2158049262
Median Absolute Deviation (MAD)0
Skewness73.48468314
Sum38516
Variance40.26645781
MonotonicityNot monotonic
2025-05-20T09:11:07.446352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177910
81.8%
16 17
 
< 0.1%
19 14
 
< 0.1%
27 13
 
< 0.1%
23 12
 
< 0.1%
21 11
 
< 0.1%
13 11
 
< 0.1%
17 11
 
< 0.1%
22 10
 
< 0.1%
25 10
 
< 0.1%
Other values (160) 457
 
0.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 177910
81.8%
1 2
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
1158 1
< 0.1%
688 1
< 0.1%
609 1
< 0.1%
600 1
< 0.1%
493 1
< 0.1%

QT_MAT_EJA_MED
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct623
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean5.681497792
Minimum0
Maximum6074
Zeros169088
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.479985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum6074
Range6074
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.92748733
Coefficient of variation (CV)9.139753147
Kurtosis2444.493774
Mean5.681497792
Median Absolute Deviation (MAD)0
Skewness37.00380047
Sum1014011
Variance2696.46394
MonotonicityNot monotonic
2025-05-20T09:11:07.513888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169088
77.7%
13 102
 
< 0.1%
17 94
 
< 0.1%
20 94
 
< 0.1%
30 93
 
< 0.1%
23 91
 
< 0.1%
33 89
 
< 0.1%
29 87
 
< 0.1%
8 86
 
< 0.1%
26 85
 
< 0.1%
Other values (613) 8567
 
3.9%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169088
77.7%
1 20
 
< 0.1%
2 30
 
< 0.1%
3 50
 
< 0.1%
4 54
 
< 0.1%
ValueCountFrequency (%)
6074 1
< 0.1%
4006 1
< 0.1%
3964 1
< 0.1%
3828 1
< 0.1%
3688 1
< 0.1%

QT_MAT_EJA_MED_NPROF
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct610
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean5.216387638
Minimum0
Maximum6074
Zeros169880
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.547456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6074
Range6074
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.20798379
Coefficient of variation (CV)9.625048459
Kurtosis2604.634059
Mean5.216387638
Median Absolute Deviation (MAD)0
Skewness38.15801681
Sum931000
Variance2520.841637
MonotonicityNot monotonic
2025-05-20T09:11:07.581068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169880
78.1%
13 96
 
< 0.1%
17 89
 
< 0.1%
30 89
 
< 0.1%
20 85
 
< 0.1%
33 84
 
< 0.1%
12 84
 
< 0.1%
19 82
 
< 0.1%
8 81
 
< 0.1%
23 81
 
< 0.1%
Other values (600) 7825
 
3.6%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169880
78.1%
1 18
 
< 0.1%
2 26
 
< 0.1%
3 46
 
< 0.1%
4 50
 
< 0.1%
ValueCountFrequency (%)
6074 1
< 0.1%
4006 1
< 0.1%
3964 1
< 0.1%
3688 1
< 0.1%
3396 1
< 0.1%

QT_MAT_EJA_MED_FIC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct179
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2504426365
Minimum0
Maximum3828
Zeros177930
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.614957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3828
Range3828
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.97444515
Coefficient of variation (CV)43.82019492
Kurtosis83295.23105
Mean0.2504426365
Median Absolute Deviation (MAD)0
Skewness246.9488892
Sum44698
Variance120.4384464
MonotonicityNot monotonic
2025-05-20T09:11:07.651367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177930
81.8%
41 14
 
< 0.1%
46 13
 
< 0.1%
34 10
 
< 0.1%
30 10
 
< 0.1%
45 10
 
< 0.1%
47 10
 
< 0.1%
20 9
 
< 0.1%
50 9
 
< 0.1%
49 8
 
< 0.1%
Other values (169) 453
 
0.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 177930
81.8%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 3
 
< 0.1%
5 6
 
< 0.1%
ValueCountFrequency (%)
3828 1
< 0.1%
654 1
< 0.1%
637 1
< 0.1%
627 1
< 0.1%
531 1
< 0.1%

QT_MAT_EJA_MED_TEC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct185
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2146675183
Minimum0
Maximum738
Zeros177993
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.685265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum738
Range738
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.28442198
Coefficient of variation (CV)29.27514153
Kurtosis4281.490841
Mean0.2146675183
Median Absolute Deviation (MAD)0
Skewness54.43418596
Sum38313
Variance39.49395962
MonotonicityNot monotonic
2025-05-20T09:11:07.720038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177993
81.8%
10 12
 
< 0.1%
14 12
 
< 0.1%
32 8
 
< 0.1%
34 8
 
< 0.1%
50 8
 
< 0.1%
43 8
 
< 0.1%
70 7
 
< 0.1%
51 7
 
< 0.1%
44 7
 
< 0.1%
Other values (175) 406
 
0.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 177993
81.8%
1 4
 
< 0.1%
2 3
 
< 0.1%
3 6
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
738 1
< 0.1%
737 1
< 0.1%
648 1
< 0.1%
512 1
< 0.1%
490 1
< 0.1%

QT_MAT_ESP
Real number (ℝ)

Missing  Zeros 

Distinct269
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean9.925312087
Minimum0
Maximum1181
Zeros38372
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.753015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q313
95-th percentile38
Maximum1181
Range1181
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.83238403
Coefficient of variation (CV)1.695904761
Kurtosis207.4005212
Mean9.925312087
Median Absolute Deviation (MAD)4
Skewness7.515556114
Sum1771430
Variance283.329152
MonotonicityNot monotonic
2025-05-20T09:11:07.786525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38372
17.6%
1 21225
 
9.8%
2 14459
 
6.6%
3 10964
 
5.0%
4 8771
 
4.0%
5 7401
 
3.4%
6 6234
 
2.9%
7 5541
 
2.5%
8 4788
 
2.2%
9 4528
 
2.1%
Other values (259) 56193
25.8%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 38372
17.6%
1 21225
9.8%
2 14459
 
6.6%
3 10964
 
5.0%
4 8771
 
4.0%
ValueCountFrequency (%)
1181 1
< 0.1%
544 1
< 0.1%
523 1
< 0.1%
508 1
< 0.1%
485 1
< 0.1%

QT_MAT_ESP_CC
Real number (ℝ)

Missing  Zeros 

Distinct172
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean9.062394944
Minimum0
Maximum1181
Zeros40094
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:07.819132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312
95-th percentile35
Maximum1181
Range1181
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.67449116
Coefficient of variation (CV)1.508926861
Kurtosis318.2524761
Mean9.062394944
Median Absolute Deviation (MAD)4
Skewness6.454411195
Sum1617420
Variance186.9917085
MonotonicityNot monotonic
2025-05-20T09:11:08.012498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40094
18.4%
1 21241
 
9.8%
2 14461
 
6.6%
3 10977
 
5.0%
4 8791
 
4.0%
5 7414
 
3.4%
6 6273
 
2.9%
7 5561
 
2.6%
8 4808
 
2.2%
9 4540
 
2.1%
Other values (162) 54316
25.0%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 40094
18.4%
1 21241
9.8%
2 14461
 
6.6%
3 10977
 
5.0%
4 8791
 
4.0%
ValueCountFrequency (%)
1181 1
< 0.1%
314 1
< 0.1%
269 1
< 0.1%
259 1
< 0.1%
227 1
< 0.1%

QT_MAT_ESP_CE
Real number (ℝ)

Missing  Zeros 

Distinct259
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.8629171429
Minimum0
Maximum544
Zeros175409
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.045559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum544
Range544
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.33655861
Coefficient of variation (CV)11.97862239
Kurtosis548.9496063
Mean0.8629171429
Median Absolute Deviation (MAD)0
Skewness19.83513843
Sum154010
Variance106.8444439
MonotonicityNot monotonic
2025-05-20T09:11:08.080616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175409
80.6%
1 121
 
0.1%
8 92
 
< 0.1%
10 87
 
< 0.1%
4 85
 
< 0.1%
7 85
 
< 0.1%
6 82
 
< 0.1%
9 78
 
< 0.1%
3 78
 
< 0.1%
5 77
 
< 0.1%
Other values (249) 2282
 
1.0%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175409
80.6%
1 121
 
0.1%
2 67
 
< 0.1%
3 78
 
< 0.1%
4 85
 
< 0.1%
ValueCountFrequency (%)
544 1
< 0.1%
523 1
< 0.1%
508 1
< 0.1%
485 1
< 0.1%
460 1
< 0.1%

QT_MAT_BAS_FEM
Real number (ℝ)

Missing  Skewed 

Distinct1316
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean131.013464
Minimum0
Maximum29339
Zeros408
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.112681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q133
median79
Q3173
95-th percentile422
Maximum29339
Range29339
Interquartile range (IQR)140

Descriptive statistics

Standard deviation183.3258796
Coefficient of variation (CV)1.399290379
Kurtosis5690.326787
Mean131.013464
Median Absolute Deviation (MAD)57
Skewness42.52214168
Sum23382759
Variance33608.37814
MonotonicityNot monotonic
2025-05-20T09:11:08.145079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 1717
 
0.8%
7 1703
 
0.8%
9 1651
 
0.8%
6 1648
 
0.8%
10 1604
 
0.7%
13 1580
 
0.7%
12 1579
 
0.7%
11 1571
 
0.7%
14 1569
 
0.7%
5 1569
 
0.7%
Other values (1306) 162285
74.6%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 408
 
0.2%
1 536
 
0.2%
2 768
0.4%
3 1133
0.5%
4 1377
0.6%
ValueCountFrequency (%)
29339 1
< 0.1%
21643 1
< 0.1%
21334 1
< 0.1%
4204 1
< 0.1%
4059 1
< 0.1%

QT_MAT_BAS_MASC
Real number (ℝ)

Missing  Skewed 

Distinct1286
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean134.0341166
Minimum0
Maximum30457
Zeros170
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.175979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q135
median84
Q3179
95-th percentile425
Maximum30457
Range30457
Interquartile range (IQR)144

Descriptive statistics

Standard deviation175.4402329
Coefficient of variation (CV)1.308922216
Kurtosis5658.66487
Mean134.0341166
Median Absolute Deviation (MAD)59
Skewness38.56459539
Sum23921873
Variance30779.27532
MonotonicityNot monotonic
2025-05-20T09:11:08.208315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 1615
 
0.7%
7 1608
 
0.7%
9 1579
 
0.7%
6 1570
 
0.7%
11 1525
 
0.7%
14 1498
 
0.7%
12 1470
 
0.7%
10 1465
 
0.7%
13 1453
 
0.7%
15 1445
 
0.7%
Other values (1276) 163248
75.0%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 170
 
0.1%
1 354
 
0.2%
2 635
0.3%
3 927
0.4%
4 1176
0.5%
ValueCountFrequency (%)
30457 1
< 0.1%
15567 1
< 0.1%
15168 1
< 0.1%
5294 1
< 0.1%
4629 1
< 0.1%

QT_MAT_BAS_ND
Real number (ℝ)

Missing  Zeros 

Distinct1186
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean67.63274614
Minimum0
Maximum17078
Zeros20546
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.238868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median23
Q379
95-th percentile279.25
Maximum17078
Range17078
Interquartile range (IQR)74

Descriptive statistics

Standard deviation128.4448408
Coefficient of variation (CV)1.899151641
Kurtosis1806.566837
Mean67.63274614
Median Absolute Deviation (MAD)22
Skewness18.19033601
Sum12070822
Variance16498.07713
MonotonicityNot monotonic
2025-05-20T09:11:08.272181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20546
 
9.4%
1 8292
 
3.8%
2 6174
 
2.8%
3 4980
 
2.3%
4 4498
 
2.1%
5 4070
 
1.9%
6 3671
 
1.7%
7 3260
 
1.5%
8 3215
 
1.5%
9 2830
 
1.3%
Other values (1176) 116940
53.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 20546
9.4%
1 8292
3.8%
2 6174
 
2.8%
3 4980
 
2.3%
4 4498
 
2.1%
ValueCountFrequency (%)
17078 1
< 0.1%
5432 1
< 0.1%
5359 1
< 0.1%
5074 1
< 0.1%
3956 1
< 0.1%

QT_MAT_BAS_BRANCA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1280
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean85.64594679
Minimum0
Maximum45791
Zeros16648
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.303618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median34
Q3101
95-th percentile351
Maximum45791
Range45791
Interquartile range (IQR)95

Descriptive statistics

Standard deviation183.1704933
Coefficient of variation (CV)2.138694243
Kurtosis22098.91909
Mean85.64594679
Median Absolute Deviation (MAD)32
Skewness93.41645333
Sum15285746
Variance33551.42963
MonotonicityNot monotonic
2025-05-20T09:11:08.336317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16648
 
7.6%
1 7949
 
3.7%
2 5463
 
2.5%
3 4494
 
2.1%
4 3787
 
1.7%
5 3304
 
1.5%
6 3100
 
1.4%
7 2590
 
1.2%
8 2496
 
1.1%
9 2428
 
1.1%
Other values (1270) 126217
58.0%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 16648
7.6%
1 7949
3.7%
2 5463
 
2.5%
3 4494
 
2.1%
4 3787
 
1.7%
ValueCountFrequency (%)
45791 1
< 0.1%
16392 1
< 0.1%
6267 1
< 0.1%
5670 1
< 0.1%
5109 1
< 0.1%

QT_MAT_BAS_PRETA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct384
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean9.71695354
Minimum0
Maximum6305
Zeros49337
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.366208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile42
Maximum6305
Range6305
Interquartile range (IQR)10

Descriptive statistics

Standard deviation27.90876461
Coefficient of variation (CV)2.87217228
Kurtosis14827.51042
Mean9.71695354
Median Absolute Deviation (MAD)3
Skewness72.94248536
Sum1734243
Variance778.8991419
MonotonicityNot monotonic
2025-05-20T09:11:08.399541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49337
22.7%
1 22552
10.4%
2 14818
 
6.8%
3 11378
 
5.2%
4 9058
 
4.2%
5 7372
 
3.4%
6 6000
 
2.8%
7 5090
 
2.3%
8 4442
 
2.0%
9 3715
 
1.7%
Other values (374) 44714
20.5%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 49337
22.7%
1 22552
10.4%
2 14818
 
6.8%
3 11378
 
5.2%
4 9058
 
4.2%
ValueCountFrequency (%)
6305 1
< 0.1%
2063 1
< 0.1%
1512 1
< 0.1%
1441 1
< 0.1%
1149 1
< 0.1%

QT_MAT_BAS_PARDA
Real number (ℝ)

Missing  Zeros 

Distinct1284
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean98.85157108
Minimum0
Maximum16151
Zeros8233
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.431968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median43
Q3125
95-th percentile382
Maximum16151
Range16151
Interquartile range (IQR)113

Descriptive statistics

Standard deviation154.4608273
Coefficient of variation (CV)1.562553085
Kurtosis961.3343399
Mean98.85157108
Median Absolute Deviation (MAD)38
Skewness12.77810563
Sum17642633
Variance23858.14717
MonotonicityNot monotonic
2025-05-20T09:11:08.467396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8233
 
3.8%
1 5107
 
2.3%
2 4131
 
1.9%
3 3773
 
1.7%
4 3394
 
1.6%
5 3214
 
1.5%
6 2972
 
1.4%
7 2825
 
1.3%
8 2741
 
1.3%
9 2651
 
1.2%
Other values (1274) 139435
64.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 8233
3.8%
1 5107
2.3%
2 4131
1.9%
3 3773
1.7%
4 3394
1.6%
ValueCountFrequency (%)
16151 1
< 0.1%
13162 1
< 0.1%
3992 1
< 0.1%
3774 1
< 0.1%
3467 1
< 0.1%

QT_MAT_BAS_AMARELA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct216
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.119444631
Minimum0
Maximum1158
Zeros124338
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.501736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum1158
Range1158
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.159528508
Coefficient of variation (CV)7.288907625
Kurtosis4134.485342
Mean1.119444631
Median Absolute Deviation (MAD)0
Skewness47.20749118
Sum199794
Variance66.57790547
MonotonicityNot monotonic
2025-05-20T09:11:08.537405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 124338
57.1%
1 26364
 
12.1%
2 11054
 
5.1%
3 5595
 
2.6%
4 3276
 
1.5%
5 2068
 
1.0%
6 1321
 
0.6%
7 897
 
0.4%
8 618
 
0.3%
9 460
 
0.2%
Other values (206) 2485
 
1.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 124338
57.1%
1 26364
 
12.1%
2 11054
 
5.1%
3 5595
 
2.6%
4 3276
 
1.5%
ValueCountFrequency (%)
1158 1
< 0.1%
840 1
< 0.1%
789 1
< 0.1%
543 1
< 0.1%
538 1
< 0.1%

QT_MAT_BAS_INDIGENA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct397
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean2.080918443
Minimum0
Maximum1475
Zeros146616
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.570666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1475
Range1475
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.50823279
Coefficient of variation (CV)9.374818535
Kurtosis1029.498041
Mean2.080918443
Median Absolute Deviation (MAD)0
Skewness25.81296728
Sum371394
Variance380.5711465
MonotonicityNot monotonic
2025-05-20T09:11:08.605120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146616
67.4%
1 16618
 
7.6%
2 4871
 
2.2%
3 2030
 
0.9%
4 1104
 
0.5%
5 696
 
0.3%
6 472
 
0.2%
7 389
 
0.2%
8 346
 
0.2%
9 296
 
0.1%
Other values (387) 5038
 
2.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 146616
67.4%
1 16618
 
7.6%
2 4871
 
2.2%
3 2030
 
0.9%
4 1104
 
0.5%
ValueCountFrequency (%)
1475 1
< 0.1%
1325 1
< 0.1%
1247 1
< 0.1%
977 1
< 0.1%
934 1
< 0.1%

QT_MAT_BAS_0_3
Real number (ℝ)

Missing  Zeros 

Distinct437
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean21.45051435
Minimum0
Maximum2178
Zeros98276
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.638559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile114
Maximum2178
Range2178
Interquartile range (IQR)22

Descriptive statistics

Standard deviation43.65713013
Coefficient of variation (CV)2.035248638
Kurtosis50.84058428
Mean21.45051435
Median Absolute Deviation (MAD)0
Skewness3.913812463
Sum3828402
Variance1905.945012
MonotonicityNot monotonic
2025-05-20T09:11:08.671595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98276
45.2%
1 3720
 
1.7%
2 2735
 
1.3%
3 2422
 
1.1%
4 2215
 
1.0%
5 2097
 
1.0%
6 2020
 
0.9%
7 1749
 
0.8%
8 1746
 
0.8%
9 1627
 
0.7%
Other values (427) 59869
27.5%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 98276
45.2%
1 3720
 
1.7%
2 2735
 
1.3%
3 2422
 
1.1%
4 2215
 
1.0%
ValueCountFrequency (%)
2178 1
< 0.1%
985 1
< 0.1%
958 1
< 0.1%
867 1
< 0.1%
779 1
< 0.1%

QT_MAT_BAS_4_5
Real number (ℝ)

Missing  Zeros 

Distinct578
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean29.25059952
Minimum0
Maximum1164
Zeros61927
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.706045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q335
95-th percentile131
Maximum1164
Range1164
Interquartile range (IQR)35

Descriptive statistics

Standard deviation53.50608585
Coefficient of variation (CV)1.829230399
Kurtosis21.44929718
Mean29.25059952
Median Absolute Deviation (MAD)8
Skewness3.734731157
Sum5220530
Variance2862.901223
MonotonicityNot monotonic
2025-05-20T09:11:08.740070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61927
28.5%
1 4965
 
2.3%
3 3853
 
1.8%
2 3811
 
1.8%
4 3801
 
1.7%
5 3755
 
1.7%
6 3598
 
1.7%
7 3350
 
1.5%
8 3163
 
1.5%
9 2929
 
1.3%
Other values (568) 83324
38.3%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 61927
28.5%
1 4965
 
2.3%
2 3811
 
1.8%
3 3853
 
1.8%
4 3801
 
1.7%
ValueCountFrequency (%)
1164 1
< 0.1%
885 1
< 0.1%
866 1
< 0.1%
845 1
< 0.1%
765 1
< 0.1%

QT_MAT_BAS_6_10
Real number (ℝ)

Missing  Zeros 

Distinct1081
Distinct (%)0.6%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean78.96935162
Minimum0
Maximum2163
Zeros39003
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.772274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q397
95-th percentile363
Maximum2163
Range2163
Interquartile range (IQR)96

Descriptive statistics

Standard deviation133.6577946
Coefficient of variation (CV)1.692527441
Kurtosis10.98651866
Mean78.96935162
Median Absolute Deviation (MAD)17
Skewness2.82716766
Sum14094134
Variance17864.40605
MonotonicityNot monotonic
2025-05-20T09:11:08.805155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39003
 
17.9%
1 6256
 
2.9%
2 4918
 
2.3%
3 4158
 
1.9%
4 3756
 
1.7%
5 3590
 
1.6%
6 3337
 
1.5%
7 3152
 
1.4%
8 2858
 
1.3%
9 2810
 
1.3%
Other values (1071) 104638
48.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 39003
17.9%
1 6256
 
2.9%
2 4918
 
2.3%
3 4158
 
1.9%
4 3756
 
1.7%
ValueCountFrequency (%)
2163 1
< 0.1%
1778 1
< 0.1%
1743 1
< 0.1%
1737 1
< 0.1%
1669 1
< 0.1%

QT_MAT_BAS_11_14
Real number (ℝ)

Missing  Zeros 

Distinct1046
Distinct (%)0.6%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean62.99224546
Minimum0
Maximum1986
Zeros65693
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.836861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q360
95-th percentile343
Maximum1986
Range1986
Interquartile range (IQR)60

Descriptive statistics

Standard deviation127.7367256
Coefficient of variation (CV)2.027816673
Kurtosis12.26927237
Mean62.99224546
Median Absolute Deviation (MAD)4
Skewness3.092007167
Sum11242604
Variance16316.67107
MonotonicityNot monotonic
2025-05-20T09:11:08.872020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65693
30.2%
1 9455
 
4.3%
2 6942
 
3.2%
3 5180
 
2.4%
4 3904
 
1.8%
5 3259
 
1.5%
6 2716
 
1.2%
7 2276
 
1.0%
8 2033
 
0.9%
9 1812
 
0.8%
Other values (1036) 75206
34.6%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 65693
30.2%
1 9455
 
4.3%
2 6942
 
3.2%
3 5180
 
2.4%
4 3904
 
1.8%
ValueCountFrequency (%)
1986 1
< 0.1%
1735 1
< 0.1%
1654 1
< 0.1%
1581 1
< 0.1%
1549 1
< 0.1%

QT_MAT_BAS_15_17
Real number (ℝ)

Missing  Zeros 

Distinct1305
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean45.88953137
Minimum0
Maximum4159
Zeros99499
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.906436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319
95-th percentile286
Maximum4159
Range4159
Interquartile range (IQR)19

Descriptive statistics

Standard deviation130.9521798
Coefficient of variation (CV)2.85363951
Kurtosis39.79565619
Mean45.88953137
Median Absolute Deviation (MAD)0
Skewness5.14272449
Sum8190180
Variance17148.47339
MonotonicityNot monotonic
2025-05-20T09:11:08.939259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99499
45.7%
1 7621
 
3.5%
2 4189
 
1.9%
3 3007
 
1.4%
4 2485
 
1.1%
5 2031
 
0.9%
6 1795
 
0.8%
7 1625
 
0.7%
8 1461
 
0.7%
9 1361
 
0.6%
Other values (1295) 53402
24.5%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 99499
45.7%
1 7621
 
3.5%
2 4189
 
1.9%
3 3007
 
1.4%
4 2485
 
1.1%
ValueCountFrequency (%)
4159 1
< 0.1%
2460 1
< 0.1%
2360 1
< 0.1%
2122 1
< 0.1%
2095 1
< 0.1%

QT_MAT_BAS_18_MAIS
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct1166
Distinct (%)0.7%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean26.49533831
Minimum0
Maximum51761
Zeros110451
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:08.971609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile132
Maximum51761
Range51761
Interquartile range (IQR)9

Descriptive statistics

Standard deviation216.0579604
Coefficient of variation (CV)8.154565073
Kurtosis32294.98209
Mean26.49533831
Median Absolute Deviation (MAD)0
Skewness153.2855613
Sum4728782
Variance46681.04224
MonotonicityNot monotonic
2025-05-20T09:11:09.005537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110451
50.8%
1 8563
 
3.9%
2 4142
 
1.9%
3 2730
 
1.3%
4 2166
 
1.0%
5 1751
 
0.8%
6 1445
 
0.7%
7 1268
 
0.6%
8 1149
 
0.5%
9 1137
 
0.5%
Other values (1156) 43674
 
20.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 110451
50.8%
1 8563
 
3.9%
2 4142
 
1.9%
3 2730
 
1.3%
4 2166
 
1.0%
ValueCountFrequency (%)
51761 1
< 0.1%
43684 1
< 0.1%
36296 1
< 0.1%
8397 1
< 0.1%
8230 1
< 0.1%

QT_MAT_BAS_D
Real number (ℝ)

Missing  Zeros 

Distinct1855
Distinct (%)1.0%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean238.3167429
Minimum0
Maximum4661
Zeros2719
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.036491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q162
median153
Q3327
95-th percentile756
Maximum4661
Range4661
Interquartile range (IQR)265

Descriptive statistics

Standard deviation256.0485746
Coefficient of variation (CV)1.074404473
Kurtosis10.53614045
Mean238.3167429
Median Absolute Deviation (MAD)111
Skewness2.374040916
Sum42533819
Variance65560.87253
MonotonicityNot monotonic
2025-05-20T09:11:09.068656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2719
 
1.2%
15 985
 
0.5%
12 978
 
0.4%
16 912
 
0.4%
14 911
 
0.4%
13 909
 
0.4%
19 899
 
0.4%
11 897
 
0.4%
10 881
 
0.4%
17 877
 
0.4%
Other values (1845) 167508
77.0%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 2719
1.2%
1 59
 
< 0.1%
2 102
 
< 0.1%
3 144
 
0.1%
4 227
 
0.1%
ValueCountFrequency (%)
4661 1
< 0.1%
4405 1
< 0.1%
4331 1
< 0.1%
4294 1
< 0.1%
4188 1
< 0.1%

QT_MAT_BAS_N
Real number (ℝ)

Missing  Zeros 

Distinct831
Distinct (%)0.5%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean21.05545283
Minimum0
Maximum2771
Zeros143205
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.099330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile137
Maximum2771
Range2771
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.03290191
Coefficient of variation (CV)3.373610745
Kurtosis97.5958792
Mean21.05545283
Median Absolute Deviation (MAD)0
Skewness7.146600677
Sum3757893
Variance5045.673154
MonotonicityNot monotonic
2025-05-20T09:11:09.131159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143205
65.8%
16 519
 
0.2%
17 509
 
0.2%
15 503
 
0.2%
14 486
 
0.2%
20 485
 
0.2%
18 484
 
0.2%
12 476
 
0.2%
21 457
 
0.2%
19 441
 
0.2%
Other values (821) 30911
 
14.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 143205
65.8%
1 34
 
< 0.1%
2 48
 
< 0.1%
3 64
 
< 0.1%
4 87
 
< 0.1%
ValueCountFrequency (%)
2771 1
< 0.1%
2489 1
< 0.1%
2440 1
< 0.1%
2106 1
< 0.1%
1971 1
< 0.1%

QT_MAT_BAS_EAD
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct764
Distinct (%)0.4%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean5.675384926
Minimum0
Maximum51635
Zeros175331
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.407435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51635
Range51635
Interquartile range (IQR)0

Descriptive statistics

Standard deviation202.6072514
Coefficient of variation (CV)35.69929689
Kurtosis43348.42844
Mean5.675384926
Median Absolute Deviation (MAD)0
Skewness190.9217514
Sum1012920
Variance41049.69834
MonotonicityNot monotonic
2025-05-20T09:11:09.443674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175331
80.6%
23 23
 
< 0.1%
20 22
 
< 0.1%
19 21
 
< 0.1%
36 21
 
< 0.1%
28 20
 
< 0.1%
21 20
 
< 0.1%
16 20
 
< 0.1%
42 20
 
< 0.1%
38 20
 
< 0.1%
Other values (754) 2958
 
1.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175331
80.6%
1 6
 
< 0.1%
2 9
 
< 0.1%
3 7
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
51635 1
< 0.1%
44906 1
< 0.1%
36811 1
< 0.1%
8412 1
< 0.1%
8247 1
< 0.1%

QT_MAT_INF_INT
Real number (ℝ)

Missing  Zeros 

Distinct490
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean17.6281741
Minimum0
Maximum2356
Zeros131848
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.478141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile119
Maximum2356
Range2356
Interquartile range (IQR)1

Descriptive statistics

Standard deviation46.68958946
Coefficient of variation (CV)2.648577737
Kurtosis63.71821374
Mean17.6281741
Median Absolute Deviation (MAD)0
Skewness4.687050757
Sum3146206
Variance2179.917764
MonotonicityNot monotonic
2025-05-20T09:11:09.513879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131848
60.6%
1 3920
 
1.8%
2 2013
 
0.9%
3 1277
 
0.6%
4 960
 
0.4%
5 801
 
0.4%
6 640
 
0.3%
8 567
 
0.3%
7 543
 
0.2%
10 474
 
0.2%
Other values (480) 35433
 
16.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 131848
60.6%
1 3920
 
1.8%
2 2013
 
0.9%
3 1277
 
0.6%
4 960
 
0.4%
ValueCountFrequency (%)
2356 1
< 0.1%
1422 1
< 0.1%
1183 1
< 0.1%
1024 1
< 0.1%
1008 1
< 0.1%

QT_MAT_INF_CRE_INT
Real number (ℝ)

Missing  Zeros 

Distinct414
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean13.38182725
Minimum0
Maximum2356
Zeros143069
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.547052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile97
Maximum2356
Range2356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.34857346
Coefficient of variation (CV)2.86572026
Kurtosis104.7966352
Mean13.38182725
Median Absolute Deviation (MAD)0
Skewness5.299956483
Sum2388335
Variance1470.613087
MonotonicityNot monotonic
2025-05-20T09:11:09.580325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143069
65.7%
1 1652
 
0.8%
2 776
 
0.4%
3 610
 
0.3%
4 450
 
0.2%
6 393
 
0.2%
8 368
 
0.2%
5 362
 
0.2%
13 356
 
0.2%
7 354
 
0.2%
Other values (404) 30086
 
13.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 143069
65.7%
1 1652
 
0.8%
2 776
 
0.4%
3 610
 
0.3%
4 450
 
0.2%
ValueCountFrequency (%)
2356 1
< 0.1%
1008 1
< 0.1%
1005 1
< 0.1%
902 1
< 0.1%
745 1
< 0.1%

QT_MAT_INF_PRE_INT
Real number (ℝ)

Missing  Zeros 

Distinct290
Distinct (%)0.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean4.246346848
Minimum0
Maximum510
Zeros151280
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.612955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum510
Range510
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.09580392
Coefficient of variation (CV)4.261499253
Kurtosis75.54412689
Mean4.246346848
Median Absolute Deviation (MAD)0
Skewness7.200005442
Sum757871
Variance327.4581194
MonotonicityNot monotonic
2025-05-20T09:11:09.646025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 151280
69.5%
1 4327
 
2.0%
2 2243
 
1.0%
3 1470
 
0.7%
4 1101
 
0.5%
5 917
 
0.4%
6 722
 
0.3%
7 636
 
0.3%
8 540
 
0.2%
9 490
 
0.2%
Other values (280) 14750
 
6.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 151280
69.5%
1 4327
 
2.0%
2 2243
 
1.0%
3 1470
 
0.7%
4 1101
 
0.5%
ValueCountFrequency (%)
510 1
< 0.1%
446 1
< 0.1%
439 1
< 0.1%
431 1
< 0.1%
423 1
< 0.1%

QT_MAT_FUND_INT
Real number (ℝ)

Missing  Zeros 

Distinct812
Distinct (%)0.5%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean21.8147482
Minimum0
Maximum2063
Zeros127756
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.677961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile144
Maximum2063
Range2063
Interquartile range (IQR)2

Descriptive statistics

Standard deviation73.70640881
Coefficient of variation (CV)3.37874213
Kurtosis39.70094721
Mean21.8147482
Median Absolute Deviation (MAD)0
Skewness5.400274603
Sum3893409
Variance5432.6347
MonotonicityNot monotonic
2025-05-20T09:11:09.711102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127756
58.7%
1 5933
 
2.7%
2 2700
 
1.2%
3 1875
 
0.9%
4 1437
 
0.7%
5 1235
 
0.6%
6 1106
 
0.5%
7 1012
 
0.5%
8 948
 
0.4%
9 909
 
0.4%
Other values (802) 33565
 
15.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 127756
58.7%
1 5933
 
2.7%
2 2700
 
1.2%
3 1875
 
0.9%
4 1437
 
0.7%
ValueCountFrequency (%)
2063 1
< 0.1%
1409 1
< 0.1%
1266 1
< 0.1%
1231 1
< 0.1%
1182 1
< 0.1%

QT_MAT_FUND_AI_INT
Real number (ℝ)

Missing  Zeros 

Distinct615
Distinct (%)0.3%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean11.00504269
Minimum0
Maximum1089
Zeros141430
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.744101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile63
Maximum1089
Range1089
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.18109423
Coefficient of variation (CV)4.105490136
Kurtosis66.88507325
Mean11.00504269
Median Absolute Deviation (MAD)0
Skewness7.027861181
Sum1964136
Variance2041.331276
MonotonicityNot monotonic
2025-05-20T09:11:09.778000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 141430
65.0%
1 4790
 
2.2%
2 2152
 
1.0%
3 1439
 
0.7%
4 1194
 
0.5%
5 985
 
0.5%
6 906
 
0.4%
8 795
 
0.4%
7 785
 
0.4%
9 759
 
0.3%
Other values (605) 23241
 
10.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 141430
65.0%
1 4790
 
2.2%
2 2152
 
1.0%
3 1439
 
0.7%
4 1194
 
0.5%
ValueCountFrequency (%)
1089 1
< 0.1%
1088 1
< 0.1%
1001 1
< 0.1%
989 1
< 0.1%
964 1
< 0.1%

QT_MAT_FUND_AF_INT
Real number (ℝ)

Missing  Zeros 

Distinct701
Distinct (%)0.4%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean10.80970551
Minimum0
Maximum1098
Zeros152612
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.814386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile49
Maximum1098
Range1098
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.27088413
Coefficient of variation (CV)4.92806063
Kurtosis70.58461817
Mean10.80970551
Median Absolute Deviation (MAD)0
Skewness7.51727071
Sum1929273
Variance2837.787096
MonotonicityNot monotonic
2025-05-20T09:11:09.847068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152612
70.1%
1 2802
 
1.3%
2 1519
 
0.7%
3 1154
 
0.5%
4 862
 
0.4%
5 791
 
0.4%
6 663
 
0.3%
7 631
 
0.3%
8 536
 
0.2%
10 481
 
0.2%
Other values (691) 16425
 
7.5%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 152612
70.1%
1 2802
 
1.3%
2 1519
 
0.7%
3 1154
 
0.5%
4 862
 
0.4%
ValueCountFrequency (%)
1098 1
< 0.1%
1085 1
< 0.1%
1064 1
< 0.1%
1040 1
< 0.1%
1030 1
< 0.1%

QT_MAT_MED_INT
Real number (ℝ)

Missing  Zeros 

Distinct686
Distinct (%)0.4%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean8.454542908
Minimum0
Maximum1849
Zeros164947
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.879346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum1849
Range1849
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.94025265
Coefficient of variation (CV)5.906913383
Kurtosis99.63652454
Mean8.454542908
Median Absolute Deviation (MAD)0
Skewness8.593635365
Sum1508933
Variance2494.028834
MonotonicityNot monotonic
2025-05-20T09:11:09.921364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 164947
75.8%
1 1478
 
0.7%
2 751
 
0.3%
3 532
 
0.2%
4 420
 
0.2%
5 303
 
0.1%
6 246
 
0.1%
7 235
 
0.1%
8 170
 
0.1%
9 165
 
0.1%
Other values (676) 9229
 
4.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 164947
75.8%
1 1478
 
0.7%
2 751
 
0.3%
3 532
 
0.2%
4 420
 
0.2%
ValueCountFrequency (%)
1849 1
< 0.1%
1471 1
< 0.1%
1361 1
< 0.1%
1198 1
< 0.1%
1104 1
< 0.1%

QT_MAT_ZR_URB
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct2194
Distinct (%)1.2%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean220.6630079
Minimum0
Maximum51787
Zeros19689
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:09.956596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median122
Q3304
95-th percentile797
Maximum51787
Range51787
Interquartile range (IQR)293

Descriptive statistics

Standard deviation346.22536
Coefficient of variation (CV)1.569023115
Kurtosis4657.37794
Mean220.6630079
Median Absolute Deviation (MAD)119
Skewness36.80032285
Sum39383051
Variance119871.9999
MonotonicityNot monotonic
2025-05-20T09:11:09.989960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19689
 
9.0%
1 7045
 
3.2%
2 4491
 
2.1%
3 3121
 
1.4%
4 2216
 
1.0%
5 1821
 
0.8%
6 1447
 
0.7%
7 1289
 
0.6%
8 1044
 
0.5%
9 951
 
0.4%
Other values (2184) 135362
62.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 19689
9.0%
1 7045
 
3.2%
2 4491
 
2.1%
3 3121
 
1.4%
4 2216
 
1.0%
ValueCountFrequency (%)
51787 1
< 0.1%
43808 1
< 0.1%
33491 1
< 0.1%
8177 1
< 0.1%
7805 1
< 0.1%

QT_MAT_ZR_RUR
Real number (ℝ)

Missing  Zeros 

Distinct883
Distinct (%)0.5%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean44.37309778
Minimum0
Maximum3320
Zeros33819
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.022562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q349
95-th percentile199
Maximum3320
Range3320
Interquartile range (IQR)48

Descriptive statistics

Standard deviation84.69405562
Coefficient of variation (CV)1.908680256
Kurtosis58.13921016
Mean44.37309778
Median Absolute Deviation (MAD)11
Skewness5.071856875
Sum7919533
Variance7173.083058
MonotonicityNot monotonic
2025-05-20T09:11:10.059623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33819
 
15.5%
1 13623
 
6.3%
2 8488
 
3.9%
3 6132
 
2.8%
4 4963
 
2.3%
5 4306
 
2.0%
6 3705
 
1.7%
7 3312
 
1.5%
8 3020
 
1.4%
9 2818
 
1.3%
Other values (873) 94290
43.3%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 33819
15.5%
1 13623
6.3%
2 8488
 
3.9%
3 6132
 
2.8%
4 4963
 
2.3%
ValueCountFrequency (%)
3320 1
< 0.1%
2633 1
< 0.1%
2224 1
< 0.1%
2124 1
< 0.1%
1955 1
< 0.1%

QT_MAT_ZR_NA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct37
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.0114749322
Minimum0
Maximum244
Zeros178376
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.093098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum244
Range244
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.12568231
Coefficient of variation (CV)98.09925584
Kurtosis25787.06851
Mean0.0114749322
Median Absolute Deviation (MAD)0
Skewness149.0037089
Sum2048
Variance1.267160663
MonotonicityNot monotonic
2025-05-20T09:11:10.126491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 178376
82.0%
1 38
 
< 0.1%
2 11
 
< 0.1%
3 7
 
< 0.1%
13 4
 
< 0.1%
6 4
 
< 0.1%
4 3
 
< 0.1%
31 2
 
< 0.1%
14 2
 
< 0.1%
21 2
 
< 0.1%
Other values (27) 27
 
< 0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 178376
82.0%
1 38
 
< 0.1%
2 11
 
< 0.1%
3 7
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
244 1
< 0.1%
209 1
< 0.1%
174 1
< 0.1%
140 1
< 0.1%
136 1
< 0.1%

QT_TRANSP_PUBLICO
Real number (ℝ)

Missing  Zeros 

Distinct1151
Distinct (%)0.6%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean50.73230574
Minimum0
Maximum3459
Zeros78925
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.160017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q353
95-th percentile244
Maximum3459
Range3459
Interquartile range (IQR)53

Descriptive statistics

Standard deviation112.3199352
Coefficient of variation (CV)2.213972608
Kurtosis52.23087588
Mean50.73230574
Median Absolute Deviation (MAD)4
Skewness5.350857097
Sum9054499
Variance12615.76785
MonotonicityNot monotonic
2025-05-20T09:11:10.200255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78925
36.3%
1 4601
 
2.1%
2 2932
 
1.3%
3 2364
 
1.1%
4 1954
 
0.9%
5 1697
 
0.8%
6 1685
 
0.8%
7 1571
 
0.7%
8 1514
 
0.7%
10 1439
 
0.7%
Other values (1141) 79794
36.7%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 78925
36.3%
1 4601
 
2.1%
2 2932
 
1.3%
3 2364
 
1.1%
4 1954
 
0.9%
ValueCountFrequency (%)
3459 1
< 0.1%
2988 1
< 0.1%
2525 1
< 0.1%
2492 1
< 0.1%
2409 1
< 0.1%

QT_TRANSP_RESP_EST
Real number (ℝ)

Missing  Zeros 

Distinct887
Distinct (%)0.5%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean8.026300455
Minimum0
Maximum2935
Zeros165670
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.243129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum2935
Range2935
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.17538476
Coefficient of variation (CV)7.74645618
Kurtosis328.0640686
Mean8.026300455
Median Absolute Deviation (MAD)0
Skewness14.94100669
Sum1432502
Variance3865.778471
MonotonicityNot monotonic
2025-05-20T09:11:10.283035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165670
76.1%
1 2227
 
1.0%
2 776
 
0.4%
3 447
 
0.2%
4 302
 
0.1%
5 226
 
0.1%
6 218
 
0.1%
8 169
 
0.1%
7 166
 
0.1%
9 131
 
0.1%
Other values (877) 8144
 
3.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 165670
76.1%
1 2227
 
1.0%
2 776
 
0.4%
3 447
 
0.2%
4 302
 
0.1%
ValueCountFrequency (%)
2935 1
< 0.1%
2510 1
< 0.1%
2492 1
< 0.1%
2404 1
< 0.1%
2395 1
< 0.1%

QT_TRANSP_RESP_MUN
Real number (ℝ)

Missing  Zeros 

Distinct1015
Distinct (%)0.6%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean42.70600529
Minimum0
Maximum3459
Zeros87712
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.318493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q342
95-th percentile213
Maximum3459
Range3459
Interquartile range (IQR)42

Descriptive statistics

Standard deviation96.54891839
Coefficient of variation (CV)2.260780837
Kurtosis48.02841392
Mean42.70600529
Median Absolute Deviation (MAD)1
Skewness5.07025199
Sum7621997
Variance9321.693642
MonotonicityNot monotonic
2025-05-20T09:11:10.355947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 87712
40.3%
1 4427
 
2.0%
2 2660
 
1.2%
3 2159
 
1.0%
4 1806
 
0.8%
5 1604
 
0.7%
6 1566
 
0.7%
7 1455
 
0.7%
8 1417
 
0.7%
10 1348
 
0.6%
Other values (1005) 72322
33.2%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 87712
40.3%
1 4427
 
2.0%
2 2660
 
1.2%
3 2159
 
1.0%
4 1806
 
0.8%
ValueCountFrequency (%)
3459 1
< 0.1%
2247 1
< 0.1%
2215 1
< 0.1%
2193 1
< 0.1%
2076 1
< 0.1%

QT_DOC_BAS
Real number (ℝ)

Missing 

Distinct200
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean16.46352793
Minimum1
Maximum343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.391445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median12
Q322
95-th percentile45
Maximum343
Range342
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.15016375
Coefficient of variation (CV)0.9202258356
Kurtosis16.98879941
Mean16.46352793
Median Absolute Deviation (MAD)7
Skewness2.580985241
Sum2934558
Variance229.5274616
MonotonicityNot monotonic
2025-05-20T09:11:10.425661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9035
 
4.2%
2 8869
 
4.1%
4 8081
 
3.7%
3 8041
 
3.7%
6 7580
 
3.5%
5 7580
 
3.5%
8 7412
 
3.4%
7 7087
 
3.3%
9 6833
 
3.1%
10 6664
 
3.1%
Other values (190) 101064
46.4%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
1 9035
4.2%
2 8869
4.1%
3 8041
3.7%
4 8081
3.7%
5 7580
3.5%
ValueCountFrequency (%)
343 1
< 0.1%
300 1
< 0.1%
296 2
< 0.1%
283 1
< 0.1%
278 1
< 0.1%

QT_DOC_INF
Real number (ℝ)

Missing  Zeros 

Distinct94
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean4.072534587
Minimum0
Maximum256
Zeros74892
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.459468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile17
Maximum256
Range256
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.440321174
Coefficient of variation (CV)1.581403678
Kurtosis29.09263438
Mean4.072534587
Median Absolute Deviation (MAD)1
Skewness3.366241315
Sum725913
Variance41.47773682
MonotonicityNot monotonic
2025-05-20T09:11:10.495685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74892
34.4%
1 14372
 
6.6%
2 12932
 
5.9%
3 11846
 
5.4%
4 10779
 
5.0%
5 7968
 
3.7%
6 6981
 
3.2%
7 5245
 
2.4%
8 4821
 
2.2%
9 3838
 
1.8%
Other values (84) 24572
 
11.3%
(Missing) 39379
18.1%
ValueCountFrequency (%)
0 74892
34.4%
1 14372
 
6.6%
2 12932
 
5.9%
3 11846
 
5.4%
4 10779
 
5.0%
ValueCountFrequency (%)
256 1
 
< 0.1%
123 1
 
< 0.1%
102 1
 
< 0.1%
99 1
 
< 0.1%
96 3
< 0.1%

QT_DOC_INF_CRE
Real number (ℝ)

Missing  Zeros 

Distinct79
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.164794722
Minimum0
Maximum256
Zeros113822
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.535801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum256
Range256
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.875606153
Coefficient of variation (CV)2.252225628
Kurtosis68.10629049
Mean2.164794722
Median Absolute Deviation (MAD)0
Skewness4.891958757
Sum385866
Variance23.77153536
MonotonicityNot monotonic
2025-05-20T09:11:10.788971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113822
52.3%
1 12286
 
5.6%
2 10539
 
4.8%
3 7390
 
3.4%
4 6205
 
2.9%
5 4434
 
2.0%
6 3887
 
1.8%
7 2926
 
1.3%
8 2628
 
1.2%
9 2019
 
0.9%
Other values (69) 12110
 
5.6%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 113822
52.3%
1 12286
 
5.6%
2 10539
 
4.8%
3 7390
 
3.4%
4 6205
 
2.9%
ValueCountFrequency (%)
256 1
< 0.1%
99 1
< 0.1%
94 1
< 0.1%
92 1
< 0.1%
85 1
< 0.1%

QT_DOC_INF_PRE
Real number (ℝ)

Missing  Zeros 

Distinct47
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.13369725
Minimum0
Maximum55
Zeros88671
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.823488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum55
Range55
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.589732351
Coefficient of variation (CV)1.682400046
Kurtosis13.03102969
Mean2.13369725
Median Absolute Deviation (MAD)1
Skewness2.990960662
Sum380323
Variance12.88617835
MonotonicityNot monotonic
2025-05-20T09:11:10.854416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 88671
40.7%
2 21294
 
9.8%
1 19815
 
9.1%
3 10851
 
5.0%
4 9667
 
4.4%
5 5943
 
2.7%
6 5004
 
2.3%
7 3474
 
1.6%
8 3067
 
1.4%
9 2071
 
1.0%
Other values (37) 8389
 
3.9%
(Missing) 39379
18.1%
ValueCountFrequency (%)
0 88671
40.7%
1 19815
 
9.1%
2 21294
 
9.8%
3 10851
 
5.0%
4 9667
 
4.4%
ValueCountFrequency (%)
55 1
 
< 0.1%
47 3
< 0.1%
46 2
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%

QT_DOC_FUND
Real number (ℝ)

Missing  Zeros 

Distinct124
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean9.450069006
Minimum0
Maximum209
Zeros56900
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.887302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q315
95-th percentile33
Maximum209
Range209
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.7634943
Coefficient of variation (CV)1.244805122
Kurtosis5.245105534
Mean9.450069006
Median Absolute Deviation (MAD)5
Skewness1.779314725
Sum1684437
Variance138.3797981
MonotonicityNot monotonic
2025-05-20T09:11:10.919206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56900
26.1%
1 10871
 
5.0%
2 8610
 
4.0%
3 5881
 
2.7%
5 5452
 
2.5%
4 4951
 
2.3%
6 4611
 
2.1%
7 4323
 
2.0%
12 4288
 
2.0%
11 4245
 
2.0%
Other values (114) 68114
31.3%
(Missing) 39379
18.1%
ValueCountFrequency (%)
0 56900
26.1%
1 10871
 
5.0%
2 8610
 
4.0%
3 5881
 
2.7%
4 4951
 
2.3%
ValueCountFrequency (%)
209 1
< 0.1%
166 1
< 0.1%
163 1
< 0.1%
161 1
< 0.1%
148 1
< 0.1%

QT_DOC_FUND_AI
Real number (ℝ)

Missing  Zeros 

Distinct79
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean4.758300327
Minimum0
Maximum127
Zeros88623
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:10.950717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile20
Maximum127
Range127
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.426963837
Coefficient of variation (CV)1.560843857
Kurtosis7.003487699
Mean4.758300327
Median Absolute Deviation (MAD)1
Skewness2.242123635
Sum848148
Variance55.15979183
MonotonicityNot monotonic
2025-05-20T09:11:10.984987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88623
40.7%
1 12219
 
5.6%
5 6932
 
3.2%
7 6439
 
3.0%
6 6237
 
2.9%
8 5707
 
2.6%
2 5008
 
2.3%
9 4500
 
2.1%
4 4209
 
1.9%
10 4177
 
1.9%
Other values (69) 34195
 
15.7%
(Missing) 39379
18.1%
ValueCountFrequency (%)
0 88623
40.7%
1 12219
 
5.6%
2 5008
 
2.3%
3 4174
 
1.9%
4 4209
 
1.9%
ValueCountFrequency (%)
127 1
< 0.1%
92 1
< 0.1%
84 1
< 0.1%
80 1
< 0.1%
79 2
< 0.1%

QT_DOC_FUND_AF
Real number (ℝ)

Missing  Zeros 

Distinct86
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean5.21732325
Minimum0
Maximum142
Zeros98844
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.016439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile24
Maximum142
Range142
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.713176862
Coefficient of variation (CV)1.670047349
Kurtosis5.993724953
Mean5.21732325
Median Absolute Deviation (MAD)0
Skewness2.177457794
Sum929967
Variance75.91945103
MonotonicityNot monotonic
2025-05-20T09:11:11.050688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98844
45.4%
1 8767
 
4.0%
2 6957
 
3.2%
8 4518
 
2.1%
9 4421
 
2.0%
10 3955
 
1.8%
7 3652
 
1.7%
11 3504
 
1.6%
3 3172
 
1.5%
12 3024
 
1.4%
Other values (76) 37432
 
17.2%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 98844
45.4%
1 8767
 
4.0%
2 6957
 
3.2%
3 3172
 
1.5%
4 2478
 
1.1%
ValueCountFrequency (%)
142 1
< 0.1%
107 1
< 0.1%
97 1
< 0.1%
92 1
< 0.1%
89 1
< 0.1%

QT_DOC_MED
Real number (ℝ)

Missing  Zeros 

Distinct147
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean3.61267574
Minimum0
Maximum313
Zeros148499
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.084159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25
Maximum313
Range313
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.878823875
Coefficient of variation (CV)2.734489499
Kurtosis39.69177309
Mean3.61267574
Median Absolute Deviation (MAD)0
Skewness4.381055779
Sum643945
Variance97.59116116
MonotonicityNot monotonic
2025-05-20T09:11:11.117626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148499
68.2%
13 1707
 
0.8%
14 1690
 
0.8%
12 1607
 
0.7%
15 1428
 
0.7%
11 1417
 
0.7%
16 1372
 
0.6%
17 1202
 
0.6%
18 1187
 
0.5%
10 1181
 
0.5%
Other values (137) 16956
 
7.8%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 148499
68.2%
1 123
 
0.1%
2 124
 
0.1%
3 160
 
0.1%
4 129
 
0.1%
ValueCountFrequency (%)
313 1
< 0.1%
274 1
< 0.1%
248 1
< 0.1%
240 1
< 0.1%
234 1
< 0.1%

QT_DOC_PROF
Real number (ℝ)

Missing  Zeros 

Distinct161
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.9580299137
Minimum0
Maximum343
Zeros169087
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.150116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum343
Range343
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.441989935
Coefficient of variation (CV)6.724205417
Kurtosis397.6101077
Mean0.9580299137
Median Absolute Deviation (MAD)0
Skewness14.93749268
Sum170765
Variance41.49923432
MonotonicityNot monotonic
2025-05-20T09:11:11.184637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169087
77.7%
2 491
 
0.2%
1 454
 
0.2%
4 443
 
0.2%
3 422
 
0.2%
6 384
 
0.2%
5 376
 
0.2%
13 353
 
0.2%
14 335
 
0.2%
12 332
 
0.2%
Other values (151) 5569
 
2.6%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 169087
77.7%
1 454
 
0.2%
2 491
 
0.2%
3 422
 
0.2%
4 443
 
0.2%
ValueCountFrequency (%)
343 1
< 0.1%
300 1
< 0.1%
296 2
< 0.1%
278 1
< 0.1%
265 1
< 0.1%

QT_DOC_PROF_TEC
Real number (ℝ)

Missing  Zeros 

Distinct160
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.8984829954
Minimum0
Maximum343
Zeros170200
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.216794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum343
Range343
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.352453919
Coefficient of variation (CV)7.070199382
Kurtosis418.8428838
Mean0.8984829954
Median Absolute Deviation (MAD)0
Skewness15.4083918
Sum160151
Variance40.35367079
MonotonicityNot monotonic
2025-05-20T09:11:11.252144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170200
78.2%
4 384
 
0.2%
2 381
 
0.2%
3 360
 
0.2%
5 326
 
0.1%
6 323
 
0.1%
13 302
 
0.1%
14 297
 
0.1%
7 294
 
0.1%
12 291
 
0.1%
Other values (150) 5088
 
2.3%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 170200
78.2%
1 281
 
0.1%
2 381
 
0.2%
3 360
 
0.2%
4 384
 
0.2%
ValueCountFrequency (%)
343 1
< 0.1%
300 1
< 0.1%
296 2
< 0.1%
278 1
< 0.1%
265 1
< 0.1%

QT_DOC_EJA
Real number (ℝ)

Missing  Zeros 

Distinct87
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.292730272
Minimum0
Maximum226
Zeros147925
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.285055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum226
Range226
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.179689936
Coefficient of variation (CV)3.233226627
Kurtosis102.4424654
Mean1.292730272
Median Absolute Deviation (MAD)0
Skewness6.280983924
Sum230424
Variance17.46980796
MonotonicityNot monotonic
2025-05-20T09:11:11.319575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 147925
68.0%
1 6334
 
2.9%
2 3185
 
1.5%
3 1833
 
0.8%
4 1666
 
0.8%
8 1591
 
0.7%
9 1562
 
0.7%
7 1495
 
0.7%
5 1489
 
0.7%
6 1468
 
0.7%
Other values (77) 9698
 
4.5%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 147925
68.0%
1 6334
 
2.9%
2 3185
 
1.5%
3 1833
 
0.8%
4 1666
 
0.8%
ValueCountFrequency (%)
226 1
< 0.1%
125 1
< 0.1%
115 1
< 0.1%
114 1
< 0.1%
102 2
< 0.1%

QT_DOC_EJA_FUND
Real number (ℝ)

Missing  Zeros 

Distinct69
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.8016561381
Minimum0
Maximum125
Zeros153428
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.353547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum125
Range125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.919173315
Coefficient of variation (CV)3.641428258
Kurtosis110.2743336
Mean0.8016561381
Median Absolute Deviation (MAD)0
Skewness7.117239027
Sum142892
Variance8.521572841
MonotonicityNot monotonic
2025-05-20T09:11:11.388143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153428
70.5%
1 6343
 
2.9%
2 3177
 
1.5%
3 1802
 
0.8%
4 1584
 
0.7%
8 1480
 
0.7%
7 1453
 
0.7%
6 1438
 
0.7%
9 1373
 
0.6%
5 1363
 
0.6%
Other values (59) 4805
 
2.2%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 153428
70.5%
1 6343
 
2.9%
2 3177
 
1.5%
3 1802
 
0.8%
4 1584
 
0.7%
ValueCountFrequency (%)
125 1
< 0.1%
115 1
< 0.1%
107 1
< 0.1%
86 2
< 0.1%
83 2
< 0.1%

QT_DOC_EJA_MED
Real number (ℝ)

Missing  Zeros 

Distinct69
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.630044994
Minimum0
Maximum180
Zeros168859
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.420442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum180
Range180
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.134417528
Coefficient of variation (CV)4.974910614
Kurtosis131.8959536
Mean0.630044994
Median Absolute Deviation (MAD)0
Skewness7.717577059
Sum112303
Variance9.824573239
MonotonicityNot monotonic
2025-05-20T09:11:11.455164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168859
77.6%
12 740
 
0.3%
13 730
 
0.3%
11 727
 
0.3%
10 673
 
0.3%
9 596
 
0.3%
8 586
 
0.3%
14 549
 
0.3%
15 524
 
0.2%
7 469
 
0.2%
Other values (59) 3793
 
1.7%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 168859
77.6%
1 202
 
0.1%
2 160
 
0.1%
3 191
 
0.1%
4 423
 
0.2%
ValueCountFrequency (%)
180 1
< 0.1%
101 1
< 0.1%
98 1
< 0.1%
91 1
< 0.1%
87 1
< 0.1%

QT_DOC_ESP
Real number (ℝ)

Missing  Zeros 

Distinct156
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean10.77143386
Minimum0
Maximum279
Zeros38388
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.487619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q316
95-th percentile37
Maximum279
Range279
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.2365716
Coefficient of variation (CV)1.228858828
Kurtosis10.91587268
Mean10.77143386
Median Absolute Deviation (MAD)6
Skewness2.314724355
Sum1919965
Variance175.2068276
MonotonicityNot monotonic
2025-05-20T09:11:11.518823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38388
17.6%
1 13518
 
6.2%
2 10284
 
4.7%
3 8000
 
3.7%
4 7582
 
3.5%
5 6154
 
2.8%
6 6034
 
2.8%
8 5808
 
2.7%
7 5739
 
2.6%
9 5643
 
2.6%
Other values (146) 71096
32.7%
(Missing) 39379
18.1%
ValueCountFrequency (%)
0 38388
17.6%
1 13518
 
6.2%
2 10284
 
4.7%
3 8000
 
3.7%
4 7582
 
3.5%
ValueCountFrequency (%)
279 1
< 0.1%
231 1
< 0.1%
223 1
< 0.1%
204 2
< 0.1%
200 2
< 0.1%

QT_DOC_ESP_CC
Real number (ℝ)

Missing  Zeros 

Distinct156
Distinct (%)0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean10.64229772
Minimum0
Maximum279
Zeros40110
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.549236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q316
95-th percentile37
Maximum279
Range279
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.23384753
Coefficient of variation (CV)1.243514124
Kurtosis10.94743969
Mean10.64229772
Median Absolute Deviation (MAD)6
Skewness2.322962699
Sum1896947
Variance175.1347205
MonotonicityNot monotonic
2025-05-20T09:11:11.581100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40110
18.4%
1 13476
 
6.2%
2 10247
 
4.7%
3 7931
 
3.6%
4 7518
 
3.5%
5 6066
 
2.8%
6 5924
 
2.7%
8 5683
 
2.6%
7 5604
 
2.6%
9 5536
 
2.5%
Other values (146) 70151
32.2%
(Missing) 39379
18.1%
ValueCountFrequency (%)
0 40110
18.4%
1 13476
 
6.2%
2 10247
 
4.7%
3 7931
 
3.6%
4 7518
 
3.5%
ValueCountFrequency (%)
279 1
< 0.1%
231 1
< 0.1%
223 1
< 0.1%
204 2
< 0.1%
200 2
< 0.1%

QT_DOC_ESP_CE
Real number (ℝ)

Missing  Zeros 

Distinct58
Distinct (%)< 0.1%
Missing39379
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean0.1456975192
Minimum0
Maximum100
Zeros175180
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.615625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.552745911
Coefficient of variation (CV)10.65732567
Kurtosis555.5399268
Mean0.1456975192
Median Absolute Deviation (MAD)0
Skewness18.78172107
Sum25970
Variance2.411019863
MonotonicityNot monotonic
2025-05-20T09:11:11.649818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175180
80.5%
3 337
 
0.2%
2 313
 
0.1%
4 290
 
0.1%
1 254
 
0.1%
5 243
 
0.1%
6 187
 
0.1%
7 185
 
0.1%
8 168
 
0.1%
9 152
 
0.1%
Other values (48) 937
 
0.4%
(Missing) 39379
 
18.1%
ValueCountFrequency (%)
0 175180
80.5%
1 254
 
0.1%
2 313
 
0.1%
3 337
 
0.2%
4 290
 
0.1%
ValueCountFrequency (%)
100 1
< 0.1%
93 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%

QT_TUR_BAS
Real number (ℝ)

Missing 

Distinct149
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean12.39761649
Minimum1
Maximum769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.683592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q316
95-th percentile32
Maximum769
Range768
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.68671609
Coefficient of variation (CV)0.861997635
Kurtosis160.6007281
Mean12.39761649
Median Absolute Deviation (MAD)5
Skewness4.602226126
Sum2212677
Variance114.2059008
MonotonicityNot monotonic
2025-05-20T09:11:11.729499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 10834
 
5.0%
6 10163
 
4.7%
4 10116
 
4.6%
7 9840
 
4.5%
2 9782
 
4.5%
10 9495
 
4.4%
5 9362
 
4.3%
3 9212
 
4.2%
12 8989
 
4.1%
9 8634
 
4.0%
Other values (139) 82049
37.7%
(Missing) 39149
18.0%
ValueCountFrequency (%)
1 8316
3.8%
2 9782
4.5%
3 9212
4.2%
4 10116
4.6%
5 9362
4.3%
ValueCountFrequency (%)
769 1
< 0.1%
296 1
< 0.1%
290 1
< 0.1%
237 1
< 0.1%
214 1
< 0.1%

QT_TUR_INF
Real number (ℝ)

Missing  Zeros 

Distinct63
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean3.348635111
Minimum0
Maximum111
Zeros74887
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.770462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile13
Maximum111
Range111
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.783478757
Coefficient of variation (CV)1.428486114
Kurtosis11.1037947
Mean3.348635111
Median Absolute Deviation (MAD)1
Skewness2.40573661
Sum597651
Variance22.88166902
MonotonicityNot monotonic
2025-05-20T09:11:11.805642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 74887
34.4%
1 16341
 
7.5%
2 14733
 
6.8%
4 12671
 
5.8%
3 10909
 
5.0%
6 8300
 
3.8%
5 7688
 
3.5%
8 6174
 
2.8%
7 4718
 
2.2%
10 3942
 
1.8%
Other values (53) 18113
 
8.3%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 74887
34.4%
1 16341
 
7.5%
2 14733
 
6.8%
3 10909
 
5.0%
4 12671
 
5.8%
ValueCountFrequency (%)
111 1
< 0.1%
103 1
< 0.1%
88 1
< 0.1%
83 1
< 0.1%
70 1
< 0.1%

QT_TUR_INF_CRE
Real number (ℝ)

Missing  Zeros 

Distinct53
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.63692037
Minimum0
Maximum111
Zeros113457
Zeros (%)52.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:11.841256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum111
Range111
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.249345578
Coefficient of variation (CV)1.985035825
Kurtosis26.46597388
Mean1.63692037
Median Absolute Deviation (MAD)0
Skewness3.538323012
Sum292151
Variance10.55824668
MonotonicityNot monotonic
2025-05-20T09:11:11.876548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113457
52.1%
1 13864
 
6.4%
2 11530
 
5.3%
4 8337
 
3.8%
3 7857
 
3.6%
5 4892
 
2.2%
6 4767
 
2.2%
7 3017
 
1.4%
8 2627
 
1.2%
9 1780
 
0.8%
Other values (43) 6348
 
2.9%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 113457
52.1%
1 13864
 
6.4%
2 11530
 
5.3%
3 7857
 
3.6%
4 8337
 
3.8%
ValueCountFrequency (%)
111 1
< 0.1%
83 1
< 0.1%
71 1
< 0.1%
54 1
< 0.1%
53 2
< 0.1%

QT_TUR_INF_PRE
Real number (ℝ)

Missing  Zeros 

Distinct42
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.71171474
Minimum0
Maximum54
Zeros88893
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.071465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum54
Range54
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.765285319
Coefficient of variation (CV)1.615505933
Kurtosis15.10954496
Mean1.71171474
Median Absolute Deviation (MAD)1
Skewness3.014182022
Sum305500
Variance7.646802896
MonotonicityNot monotonic
2025-05-20T09:11:12.101955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 88893
40.8%
2 27317
 
12.6%
1 22484
 
10.3%
4 12894
 
5.9%
3 7925
 
3.6%
6 4666
 
2.1%
5 3912
 
1.8%
8 2725
 
1.3%
7 1993
 
0.9%
10 1343
 
0.6%
Other values (32) 4324
 
2.0%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 88893
40.8%
1 22484
 
10.3%
2 27317
 
12.6%
3 7925
 
3.6%
4 12894
 
5.9%
ValueCountFrequency (%)
54 1
 
< 0.1%
52 1
 
< 0.1%
48 1
 
< 0.1%
41 1
 
< 0.1%
40 3
< 0.1%

QT_TUR_FUND
Real number (ℝ)

Missing  Zeros 

Distinct90
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean6.567762612
Minimum0
Maximum110
Zeros57126
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.133035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q310
95-th percentile22
Maximum110
Range110
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.01057834
Coefficient of variation (CV)1.219681467
Kurtosis5.155697141
Mean6.567762612
Median Absolute Deviation (MAD)4
Skewness1.812206206
Sum1172188
Variance64.16936534
MonotonicityNot monotonic
2025-05-20T09:11:12.165636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57126
26.2%
1 12283
 
5.6%
9 11404
 
5.2%
5 10917
 
5.0%
2 10542
 
4.8%
4 7125
 
3.3%
10 6608
 
3.0%
8 6167
 
2.8%
3 5698
 
2.6%
6 5003
 
2.3%
Other values (80) 45603
21.0%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 57126
26.2%
1 12283
 
5.6%
2 10542
 
4.8%
3 5698
 
2.6%
4 7125
 
3.3%
ValueCountFrequency (%)
110 1
< 0.1%
107 1
< 0.1%
104 1
< 0.1%
100 1
< 0.1%
95 1
< 0.1%

QT_TUR_FUND_AI
Real number (ℝ)

Missing  Zeros 

Distinct63
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean3.766848204
Minimum0
Maximum67
Zeros88849
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.196606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile16
Maximum67
Range67
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.784497101
Coefficient of variation (CV)1.535633184
Kurtosis6.372904463
Mean3.766848204
Median Absolute Deviation (MAD)1
Skewness2.169797118
Sum672292
Variance33.46040671
MonotonicityNot monotonic
2025-05-20T09:11:12.229140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88849
40.8%
5 20867
 
9.6%
1 16048
 
7.4%
10 7634
 
3.5%
6 4772
 
2.2%
3 4180
 
1.9%
8 3600
 
1.7%
7 3372
 
1.5%
9 3234
 
1.5%
2 2934
 
1.3%
Other values (53) 22986
 
10.6%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 88849
40.8%
1 16048
 
7.4%
2 2934
 
1.3%
3 4180
 
1.9%
4 2925
 
1.3%
ValueCountFrequency (%)
67 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%
63 2
< 0.1%
62 2
< 0.1%

QT_TUR_FUND_AF
Real number (ℝ)

Missing  Zeros 

Distinct58
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean2.800914409
Minimum0
Maximum79
Zeros99068
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.261439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile13
Maximum79
Range79
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.802376082
Coefficient of variation (CV)1.714574379
Kurtosis9.37735612
Mean2.800914409
Median Absolute Deviation (MAD)0
Skewness2.575199655
Sum499896
Variance23.06281603
MonotonicityNot monotonic
2025-05-20T09:11:12.295136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99068
45.5%
4 16591
 
7.6%
1 12152
 
5.6%
2 9491
 
4.4%
8 6158
 
2.8%
5 5023
 
2.3%
6 4910
 
2.3%
3 3111
 
1.4%
7 3063
 
1.4%
12 2710
 
1.2%
Other values (48) 16199
 
7.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 99068
45.5%
1 12152
 
5.6%
2 9491
 
4.4%
3 3111
 
1.4%
4 16591
 
7.6%
ValueCountFrequency (%)
79 1
< 0.1%
75 1
< 0.1%
72 1
< 0.1%
63 1
< 0.1%
62 2
< 0.1%

QT_TUR_MED
Real number (ℝ)

Missing  Zeros 

Distinct81
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.497338578
Minimum0
Maximum163
Zeros148722
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.327445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum163
Range163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.695240374
Coefficient of variation (CV)3.135723907
Kurtosis45.45982572
Mean1.497338578
Median Absolute Deviation (MAD)0
Skewness5.23793263
Sum267239
Variance22.04528217
MonotonicityNot monotonic
2025-05-20T09:11:12.362586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148722
68.3%
3 7311
 
3.4%
6 2826
 
1.3%
5 1721
 
0.8%
4 1643
 
0.8%
9 1639
 
0.8%
8 1479
 
0.7%
7 1407
 
0.6%
12 1238
 
0.6%
10 1146
 
0.5%
Other values (71) 9344
 
4.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 148722
68.3%
1 751
 
0.3%
2 1053
 
0.5%
3 7311
 
3.4%
4 1643
 
0.8%
ValueCountFrequency (%)
163 1
< 0.1%
112 1
< 0.1%
107 1
< 0.1%
103 1
< 0.1%
91 2
< 0.1%

QT_TUR_PROF
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct118
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.503894081
Minimum0
Maximum769
Zeros169313
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.396004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum769
Range769
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.251472092
Coefficient of variation (CV)8.437233642
Kurtosis6336.343438
Mean0.503894081
Median Absolute Deviation (MAD)0
Skewness45.98595852
Sum89933
Variance18.07501495
MonotonicityNot monotonic
2025-05-20T09:11:12.431845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169313
77.8%
1 1400
 
0.6%
2 1357
 
0.6%
3 983
 
0.5%
4 793
 
0.4%
5 482
 
0.2%
6 455
 
0.2%
7 302
 
0.1%
8 290
 
0.1%
12 278
 
0.1%
Other values (108) 2823
 
1.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169313
77.8%
1 1400
 
0.6%
2 1357
 
0.6%
3 983
 
0.5%
4 793
 
0.4%
ValueCountFrequency (%)
769 1
< 0.1%
263 1
< 0.1%
201 1
< 0.1%
188 2
< 0.1%
178 1
< 0.1%

QT_TUR_PROF_TEC
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct115
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.4606109505
Minimum0
Maximum769
Zeros170426
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.466367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum769
Range769
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.087536425
Coefficient of variation (CV)8.874162503
Kurtosis7364.94977
Mean0.4606109505
Median Absolute Deviation (MAD)0
Skewness50.0728127
Sum82208
Variance16.70795403
MonotonicityNot monotonic
2025-05-20T09:11:12.502263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170426
78.3%
2 1148
 
0.5%
1 1138
 
0.5%
3 862
 
0.4%
4 650
 
0.3%
6 399
 
0.2%
5 394
 
0.2%
8 279
 
0.1%
12 278
 
0.1%
7 275
 
0.1%
Other values (105) 2627
 
1.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 170426
78.3%
1 1138
 
0.5%
2 1148
 
0.5%
3 862
 
0.4%
4 650
 
0.3%
ValueCountFrequency (%)
769 1
< 0.1%
263 1
< 0.1%
201 1
< 0.1%
188 1
< 0.1%
186 1
< 0.1%

QT_TUR_EJA
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct101
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.6685604787
Minimum0
Maximum290
Zeros148154
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.535577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum290
Range290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.933978697
Coefficient of variation (CV)4.38850155
Kurtosis1469.086193
Mean0.6685604787
Median Absolute Deviation (MAD)0
Skewness25.9808401
Sum119322
Variance8.608230993
MonotonicityNot monotonic
2025-05-20T09:11:12.569795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 148154
68.1%
1 8600
 
4.0%
2 5940
 
2.7%
3 4469
 
2.1%
4 3591
 
1.7%
5 2021
 
0.9%
6 1597
 
0.7%
7 951
 
0.4%
8 825
 
0.4%
9 516
 
0.2%
Other values (91) 1812
 
0.8%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 148154
68.1%
1 8600
 
4.0%
2 5940
 
2.7%
3 4469
 
2.1%
4 3591
 
1.7%
ValueCountFrequency (%)
290 1
< 0.1%
237 1
< 0.1%
214 1
< 0.1%
172 1
< 0.1%
168 1
< 0.1%

QT_TUR_EJA_FUND
Real number (ℝ)

Missing  Zeros 

Distinct71
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.4622806428
Minimum0
Maximum148
Zeros153658
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.602364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum148
Range148
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.979475968
Coefficient of variation (CV)4.28197892
Kurtosis581.028384
Mean0.4622806428
Median Absolute Deviation (MAD)0
Skewness15.82992455
Sum82506
Variance3.918325106
MonotonicityNot monotonic
2025-05-20T09:11:12.637999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 153658
70.6%
1 8968
 
4.1%
2 5149
 
2.4%
3 3121
 
1.4%
4 2553
 
1.2%
5 1399
 
0.6%
6 1007
 
0.5%
8 595
 
0.3%
7 573
 
0.3%
9 361
 
0.2%
Other values (61) 1092
 
0.5%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 153658
70.6%
1 8968
 
4.1%
2 5149
 
2.4%
3 3121
 
1.4%
4 2553
 
1.2%
ValueCountFrequency (%)
148 1
< 0.1%
127 1
< 0.1%
114 1
< 0.1%
102 1
< 0.1%
84 1
< 0.1%

QT_TUR_EJA_MED
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct66
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2062798359
Minimum0
Maximum205
Zeros169088
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.672330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum205
Range205
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.625462063
Coefficient of variation (CV)7.879888285
Kurtosis3434.426608
Mean0.2062798359
Median Absolute Deviation (MAD)0
Skewness42.42593929
Sum36816
Variance2.642126917
MonotonicityNot monotonic
2025-05-20T09:11:12.705565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169088
77.7%
3 2318
 
1.1%
2 2080
 
1.0%
1 1668
 
0.8%
4 1260
 
0.6%
5 540
 
0.2%
6 518
 
0.2%
7 261
 
0.1%
8 179
 
0.1%
9 129
 
0.1%
Other values (56) 435
 
0.2%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169088
77.7%
1 1668
 
0.8%
2 2080
 
1.0%
3 2318
 
1.1%
4 1260
 
0.6%
ValueCountFrequency (%)
205 1
< 0.1%
168 1
< 0.1%
142 1
< 0.1%
132 1
< 0.1%
116 1
< 0.1%

QT_TUR_ESP
Real number (ℝ)

Missing  Zeros 

Distinct75
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean5.425597839
Minimum0
Maximum436
Zeros38372
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.737999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile19
Maximum436
Range436
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.601677305
Coefficient of variation (CV)1.216764954
Kurtosis107.8605571
Mean5.425597839
Median Absolute Deviation (MAD)3
Skewness3.544322172
Sum968339
Variance43.58214323
MonotonicityNot monotonic
2025-05-20T09:11:12.770797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38372
17.6%
1 25452
11.7%
2 17523
8.1%
3 13317
 
6.1%
4 11158
 
5.1%
5 9524
 
4.4%
6 8270
 
3.8%
7 7215
 
3.3%
8 6376
 
2.9%
9 5569
 
2.6%
Other values (65) 35700
16.4%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 38372
17.6%
1 25452
11.7%
2 17523
8.1%
3 13317
 
6.1%
4 11158
 
5.1%
ValueCountFrequency (%)
436 1
< 0.1%
122 1
< 0.1%
119 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%

QT_TUR_ESP_CC
Real number (ℝ)

Missing  Zeros 

Distinct75
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean5.30591228
Minimum0
Maximum436
Zeros40094
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.804072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile18
Maximum436
Range436
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.527148602
Coefficient of variation (CV)1.230165193
Kurtosis112.6510241
Mean5.30591228
Median Absolute Deviation (MAD)3
Skewness3.599638984
Sum946978
Variance42.60366887
MonotonicityNot monotonic
2025-05-20T09:11:12.837929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40094
18.4%
1 25443
11.7%
2 17440
8.0%
3 13238
 
6.1%
4 11070
 
5.1%
5 9425
 
4.3%
6 8144
 
3.7%
7 7125
 
3.3%
8 6293
 
2.9%
9 5453
 
2.5%
Other values (65) 34751
16.0%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 40094
18.4%
1 25443
11.7%
2 17440
8.0%
3 13238
 
6.1%
4 11070
 
5.1%
ValueCountFrequency (%)
436 1
< 0.1%
122 1
< 0.1%
119 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%

QT_TUR_ESP_CE
Real number (ℝ)

Missing  Zeros 

Distinct54
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.11968556
Minimum0
Maximum68
Zeros175409
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.869831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.38224873
Coefficient of variation (CV)11.54900166
Kurtosis449.8756746
Mean0.11968556
Median Absolute Deviation (MAD)0
Skewness18.24467017
Sum21361
Variance1.910611552
MonotonicityNot monotonic
2025-05-20T09:11:12.904283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175409
80.6%
1 823
 
0.4%
2 481
 
0.2%
3 175
 
0.1%
4 173
 
0.1%
6 146
 
0.1%
5 130
 
0.1%
10 113
 
0.1%
9 108
 
< 0.1%
7 107
 
< 0.1%
Other values (44) 811
 
0.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175409
80.6%
1 823
 
0.4%
2 481
 
0.2%
3 175
 
0.1%
4 173
 
0.1%
ValueCountFrequency (%)
68 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
57 1
< 0.1%
52 2
< 0.1%

QT_TUR_BAS_D
Real number (ℝ)

Missing  Zeros 

Distinct127
Distinct (%)0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean11.34382774
Minimum0
Maximum190
Zeros2719
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:12.940603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile29
Maximum190
Range190
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.255673012
Coefficient of variation (CV)0.8159215057
Kurtosis10.57084394
Mean11.34382774
Median Absolute Deviation (MAD)5
Skewness2.108463174
Sum2024601
Variance85.6674829
MonotonicityNot monotonic
2025-05-20T09:11:12.972605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 11176
 
5.1%
2 10267
 
4.7%
6 10258
 
4.7%
4 10225
 
4.7%
7 9815
 
4.5%
10 9743
 
4.5%
12 9506
 
4.4%
5 9375
 
4.3%
1 9309
 
4.3%
3 9065
 
4.2%
Other values (117) 79737
36.6%
(Missing) 39149
18.0%
ValueCountFrequency (%)
0 2719
 
1.2%
1 9309
4.3%
2 10267
4.7%
3 9065
4.2%
4 10225
4.7%
ValueCountFrequency (%)
190 1
< 0.1%
159 1
< 0.1%
158 1
< 0.1%
157 1
< 0.1%
148 1
< 0.1%

QT_TUR_BAS_N
Real number (ℝ)

Missing  Zeros 

Distinct89
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.9359409669
Minimum0
Maximum162
Zeros143205
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.003499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum162
Range162
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.070970416
Coefficient of variation (CV)3.281158241
Kurtosis234.4553945
Mean0.9359409669
Median Absolute Deviation (MAD)0
Skewness10.14786494
Sum167043
Variance9.430859297
MonotonicityNot monotonic
2025-05-20T09:11:13.039390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143205
65.8%
1 7734
 
3.6%
2 5425
 
2.5%
3 5390
 
2.5%
4 3935
 
1.8%
5 2692
 
1.2%
6 2472
 
1.1%
7 1675
 
0.8%
8 1353
 
0.6%
9 1061
 
0.5%
Other values (79) 3534
 
1.6%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 143205
65.8%
1 7734
 
3.6%
2 5425
 
2.5%
3 5390
 
2.5%
4 3935
 
1.8%
ValueCountFrequency (%)
162 1
< 0.1%
142 1
< 0.1%
119 1
< 0.1%
118 1
< 0.1%
112 1
< 0.1%

QT_TUR_BAS_EAD
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct62
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.1178477779
Minimum0
Maximum769
Zeros175331
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.076025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum769
Range769
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.484892927
Coefficient of variation (CV)21.08561546
Kurtosis53337.15787
Mean0.1178477779
Median Absolute Deviation (MAD)0
Skewness189.2447197
Sum21033
Variance6.174692857
MonotonicityNot monotonic
2025-05-20T09:11:13.111463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175331
80.6%
2 497
 
0.2%
3 458
 
0.2%
1 397
 
0.2%
4 293
 
0.1%
6 278
 
0.1%
5 229
 
0.1%
7 162
 
0.1%
8 148
 
0.1%
9 125
 
0.1%
Other values (52) 558
 
0.3%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 175331
80.6%
1 397
 
0.2%
2 497
 
0.2%
3 458
 
0.2%
4 293
 
0.1%
ValueCountFrequency (%)
769 1
< 0.1%
296 1
< 0.1%
214 1
< 0.1%
183 1
< 0.1%
168 1
< 0.1%

QT_TUR_INF_INT
Real number (ℝ)

Missing  Zeros 

Distinct52
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean1.087137766
Minimum0
Maximum111
Zeros143943
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.307231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum111
Range111
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.868842172
Coefficient of variation (CV)2.638894775
Kurtosis37.27306718
Mean1.087137766
Median Absolute Deviation (MAD)0
Skewness4.240398467
Sum194028
Variance8.230255405
MonotonicityNot monotonic
2025-05-20T09:11:13.341034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143943
66.1%
4 4936
 
2.3%
5 4223
 
1.9%
6 4068
 
1.9%
3 3891
 
1.8%
2 3719
 
1.7%
1 3408
 
1.6%
7 2393
 
1.1%
8 1977
 
0.9%
9 1509
 
0.7%
Other values (42) 4409
 
2.0%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 143943
66.1%
1 3408
 
1.6%
2 3719
 
1.7%
3 3891
 
1.8%
4 4936
 
2.3%
ValueCountFrequency (%)
111 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
54 1
< 0.1%
53 2
< 0.1%

QT_TUR_INF_CRE_INT
Real number (ℝ)

Missing  Zeros 

Distinct47
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.8804825299
Minimum0
Maximum111
Zeros147564
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.373052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum111
Range111
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.523257358
Coefficient of variation (CV)2.865766523
Kurtosis51.00144572
Mean0.8804825299
Median Absolute Deviation (MAD)0
Skewness4.859435023
Sum157145
Variance6.366827695
MonotonicityNot monotonic
2025-05-20T09:11:13.405492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 147564
67.8%
4 5307
 
2.4%
3 4710
 
2.2%
2 3923
 
1.8%
1 3373
 
1.5%
5 3246
 
1.5%
6 2859
 
1.3%
7 1938
 
0.9%
8 1412
 
0.6%
9 1023
 
0.5%
Other values (37) 3121
 
1.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 147564
67.8%
1 3373
 
1.5%
2 3923
 
1.8%
3 4710
 
2.2%
4 5307
 
2.4%
ValueCountFrequency (%)
111 1
< 0.1%
54 1
< 0.1%
53 2
< 0.1%
50 1
< 0.1%
48 2
< 0.1%

QT_TUR_INF_PRE_INT
Real number (ℝ)

Missing  Zeros 

Distinct24
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2066552366
Minimum0
Maximum26
Zeros164178
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.433104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8720880264
Coefficient of variation (CV)4.220014169
Kurtosis61.84466735
Mean0.2066552366
Median Absolute Deviation (MAD)0
Skewness6.421972438
Sum36883
Variance0.7605375258
MonotonicityNot monotonic
2025-05-20T09:11:13.459836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 164178
75.4%
2 5472
 
2.5%
1 3916
 
1.8%
3 1715
 
0.8%
4 1637
 
0.8%
5 551
 
0.3%
6 446
 
0.2%
7 205
 
0.1%
8 160
 
0.1%
9 64
 
< 0.1%
Other values (14) 132
 
0.1%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 164178
75.4%
1 3916
 
1.8%
2 5472
 
2.5%
3 1715
 
0.8%
4 1637
 
0.8%
ValueCountFrequency (%)
26 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%
20 2
< 0.1%
19 2
< 0.1%

QT_TUR_FUND_INT
Real number (ℝ)

Missing  Zeros 

Distinct43
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.5056870392
Minimum0
Maximum68
Zeros164223
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.487001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.226541155
Coefficient of variation (CV)4.403002219
Kurtosis48.81196436
Mean0.5056870392
Median Absolute Deviation (MAD)0
Skewness6.009864327
Sum90253
Variance4.957485517
MonotonicityNot monotonic
2025-05-20T09:11:13.518044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 164223
75.5%
1 2301
 
1.1%
2 1714
 
0.8%
5 1411
 
0.6%
4 1268
 
0.6%
3 993
 
0.5%
8 979
 
0.4%
9 936
 
0.4%
6 776
 
0.4%
10 773
 
0.4%
Other values (33) 3102
 
1.4%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 164223
75.5%
1 2301
 
1.1%
2 1714
 
0.8%
3 993
 
0.5%
4 1268
 
0.6%
ValueCountFrequency (%)
68 1
< 0.1%
48 2
< 0.1%
44 1
< 0.1%
43 2
< 0.1%
39 2
< 0.1%

QT_TUR_FUND_AI_INT
Real number (ℝ)

Missing  Zeros 

Distinct35
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2319975795
Minimum0
Maximum40
Zeros170942
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.547593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.435276662
Coefficient of variation (CV)6.186601882
Kurtosis90.87345013
Mean0.2319975795
Median Absolute Deviation (MAD)0
Skewness8.475059111
Sum41406
Variance2.060019096
MonotonicityNot monotonic
2025-05-20T09:11:13.579116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 170942
78.5%
1 1595
 
0.7%
5 1537
 
0.7%
2 817
 
0.4%
3 506
 
0.2%
10 494
 
0.2%
6 439
 
0.2%
4 396
 
0.2%
7 310
 
0.1%
8 304
 
0.1%
Other values (25) 1136
 
0.5%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 170942
78.5%
1 1595
 
0.7%
2 817
 
0.4%
3 506
 
0.2%
4 396
 
0.2%
ValueCountFrequency (%)
40 1
< 0.1%
34 1
< 0.1%
33 2
< 0.1%
32 2
< 0.1%
30 1
< 0.1%

QT_TUR_FUND_AF_INT
Real number (ℝ)

Missing  Zeros 

Distinct32
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2736894596
Minimum0
Maximum34
Zeros169328
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.607039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.529776528
Coefficient of variation (CV)5.589460881
Kurtosis64.98655268
Mean0.2736894596
Median Absolute Deviation (MAD)0
Skewness7.362934051
Sum48847
Variance2.340216226
MonotonicityNot monotonic
2025-05-20T09:11:13.635948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 169328
77.8%
1 1804
 
0.8%
4 1484
 
0.7%
2 1409
 
0.6%
8 727
 
0.3%
3 504
 
0.2%
5 485
 
0.2%
6 481
 
0.2%
9 395
 
0.2%
12 344
 
0.2%
Other values (22) 1515
 
0.7%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 169328
77.8%
1 1804
 
0.8%
2 1409
 
0.6%
3 504
 
0.2%
4 1484
 
0.7%
ValueCountFrequency (%)
34 1
< 0.1%
33 2
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 2
< 0.1%

QT_TUR_MED_INT
Real number (ℝ)

Missing  Zeros 

Distinct38
Distinct (%)< 0.1%
Missing39149
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.2479156861
Minimum0
Maximum57
Zeros170531
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size1.7 MiB
2025-05-20T09:11:13.664427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.454763995
Coefficient of variation (CV)5.867978818
Kurtosis107.5020586
Mean0.2479156861
Median Absolute Deviation (MAD)0
Skewness8.53555166
Sum44247
Variance2.116338281
MonotonicityNot monotonic
2025-05-20T09:11:13.694430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 170531
78.4%
3 1385
 
0.6%
2 1153
 
0.5%
4 944
 
0.4%
1 714
 
0.3%
6 654
 
0.3%
5 613
 
0.3%
7 409
 
0.2%
9 409
 
0.2%
8 406
 
0.2%
Other values (28) 1258
 
0.6%
(Missing) 39149
 
18.0%
ValueCountFrequency (%)
0 170531
78.4%
1 714
 
0.3%
2 1153
 
0.5%
3 1385
 
0.6%
4 944
 
0.4%
ValueCountFrequency (%)
57 1
< 0.1%
52 1
< 0.1%
44 1
< 0.1%
41 1
< 0.1%
38 2
< 0.1%